JOURNAL CLUB |
journal clubÀº ¸ÅÁÖ Åä¿äÀÏ 9½Ã¿¡ ÀÖ½À´Ï´Ù |
2006 | 2005 | 2004 | 2003 | 2002 |
2006 | May(05) | |||
6 | ¿ÂÁ¤Çå | ![]() |
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6 | ¿ìÁ¤ÈÆ | ![]() |
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13 | ³ª¿µÁö | ![]() |
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13 | Á¤¿ë | ![]() |
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20 | Á¤Å¼ö | ![]() |
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20 | ±èÁöÈÆ | ![]() |
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27 | Á¶¼º¹ü | ![]() |
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27 | Á¤ÈñÁØ | ![]() |
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2006 | April(04) | |||
1 | ¿ìÁ¤ÈÆ | ![]() |
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1 | ¹ÚÀ¯¶û | ![]() |
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8 | Á¤¿ë | ![]() |
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8 | ±èÁöÈÆ | ![]() |
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15 | Á¶¼º¹ü | ![]() |
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15 | Á¤ÈñÁØ | ![]() |
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22 | ¹ÚÂùÈñ | ![]() |
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22 | ¿ÂÁ¤Çå | ![]() |
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29 | ±è¹Î±¸ | ![]() |
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29 | ¹ÚÀ¯¶û | ![]() |
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2006 | March(03) | |||
4 | ±èÁöÈÆ | ![]() |
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4 | Á¶¼º¹ü | ![]() |
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11 | ¼ºÁ¤È¯ | ![]() |
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11 | ±è¹Î±¸ | ![]() |
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18 | Á¤Å¼ö | ![]() |
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18 | ¿ÂÁ¤Çå | ![]() |
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25 | Á¤ÈñÁØ | ![]() |
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25 | ³ª¿µÁö | ![]() |
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2006 | February(02) | |||
4 | ³ª¿µÁö | ![]() |
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4 | ±è¹Î±¸ | ![]() |
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11 | ÀÌÇý¿ø | ![]() |
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11 | ¹ÚÀ¯¶û | ![]() |
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18 | Á¤ÈñÁØ | miRBase: microRNA sequences, targets and gene nomenclature |
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18 | ¿ìÁ¤ÈÆ | ![]() |
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25 | Á¤¿ë | ![]() |
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25 | Á¤Å¼ö | ![]() |
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2006 | January(01) | |||
07 | ³ª¿µÁö | ![]() |
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07 | À±Çý¼º | ![]() |
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14 | ¿ÂÁ¤Çå | ![]() |
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14 | Á¤Å¼ö | ![]() |
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21 | ±èÁöÈÆ | ![]() |
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21 | Á¶¼º¹ü | Signal transduction profiling of individual tumor samples |
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2005 | December(12) | |||
3 | ¹ÚÀ¯¶û | ONTOFUSION: Ontology-based integration of genomic and clinical databases |
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3 | Á¤Å¼ö | PLAID MODELS FOR GENE EXPRESSION DATA |
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10 | ±èÁöÈÆ | L2L: a simple tool for discovering the hidden significance in microarray expression data |
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17 | Á¤ÈñÁØ | Linking pathway gene expressions to the growth inhibition response from the National Cancer Institute's anticancer screen and drug mechanism of action |
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17 | Á¶¼º¹ü | ![]() |
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24 | ¿ìÁ¤ÈÆ | Dual activation of pathways regulated by steroid receptors and peptide growth factors in primary prostate cancer revealed by Factor Analysis of microarray data |
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24 | ±è¹Î±¸ | ![]() |
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31 | ÀÌÇý¿ø | ![]() |
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31 | ¹ÚÀ¯¶û | ![]() |
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2005 | November(11) | |||
5 | ¿ìÁ¤ÈÆ | ![]() |
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5 | ¿ÂÁ¤Çå | ![]() |
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12 | ±è¹Î±¸ | ![]() |
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12 | ±è¹ÌÇö | ![]() |
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26 | ³ª¿µÁö | ![]() |
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26 | ÀÌÇý¿ø | ![]() |
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  | ECCB2005 Review | |||
10.31 | ¿ìÁ¤ÈÆ | ![]() |
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10.31 | ÀÌÇý¿ø | ![]() |
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10.31 | Á¤ÈñÁØ | ![]() |
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10.31 | ±è¹Î±¸ | Analyzing microarray data using quantitative association rules |
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10.31 | Á¶¼º¹ü | ![]() |
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2005 | October(10) | |||
1 | ±è¹ÌÇö | ![]() |
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1 | ³ª¿µÁö | ![]() |
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8 | ¿ìÁ¤ÈÆ | ![]() |
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8 | ¿ÂÁ¤Çå | ![]() |
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15 | ÀÌÇý¿ø | ![]() |
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15 | ±èÁöÈÆ | ![]() |
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22 | ¹ÚÂùÈñ | ![]() |
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22 | À±Çý¼º | ![]() |
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29 | Á¶¼º¹ü | ![]() |
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29 | Á¤ÈñÁØ | ![]() |
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2005 | September(9) | |||
3 | ¹ÚÀ¯¶û | ![]() |
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3 | Á¤ÈñÁØ | ![]() |
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10 | Á¶¼º¹ü | ![]() |
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10 | ±è¹Î±¸ | ![]() |
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24 | Á¤Å¼ö | ![]() |
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24 | À±Çý¼º | ![]() |
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24 | ¼ºÁ¤È¯ | Computational biology & microarrays on microRNA research |
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2005 | August(8) | |||
6 | ¹ÚÀ¯¶û | ![]() |
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6 | ÀÌÇý¿ø | ![]() |
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13 | ³ª¿µÁö | ![]() |
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13 | ¿ìÁ¤ÈÆ | ![]() |
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20 | ±è¹ÌÇö | ![]() |
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20 | Á¤Å¼ö | ![]() |
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27 | ±èÁöÈÆ | ![]() |
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27 | ¹ÚÂùÈñ | ![]() |
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2005 | July(7) | |||
2 | Á¤Å¼ö | ![]() |
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2 | ±è¹Î±¸ | ![]() |
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9 | ¹ÚÂùÈñ | ![]() |
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9 | ÇÑ¹Ì·É | ![]() |
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16 | Á¤ÈñÁØ | ![]() |
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16 | Á¶¼º¹ü | ![]() |
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23 | ±èÁöÈÆ | ![]() |
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23 | ¿ÂÁ¤Çå | ![]() |
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30 | ÇÑ¹Ì·É | ![]() |
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30 | ±è¿Á±¸ | ![]() |
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2005 | June(6) | |||
4 | Á¶¼º¹ü | ![]() |
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4 | ±è¹Î±¸ | ![]() |
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11 | ¹ÚÀ¯¶û | ![]() |
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11 | ±è¿Á±¸ | ![]() |
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18 | À±Çý¼º | ![]() |
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18 | ±è¹ÌÇö | ![]() |
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25 | ÀÌÇý¿ø | ![]() |
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25 | ³ª¿µÁö | ![]() |
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2005 | May(5) | |||
7 | ±è¹ÌÇö | ![]() |
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7 | ³ª¿µÁö | ![]() |
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14 | Á¤Å¼ö | ![]() |
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14 | ±èÁöÈÆ | ![]() |
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21 | ¹ÚÂùÈñ | ![]() |
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21 | À±Çý¼º | ![]() |
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28 | Á¤ÈñÁØ | ![]() |
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28 | À̼ö¿¬ | ![]() |
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2005 | April(4) | |||
2 | ¹ÚÂùÈñ | ![]() |
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2 | À±Çý¼º | ![]() |
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9 | Á¤ÈñÁØ | ![]() |
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9 | À̼ö¿¬ | ![]() |
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16 | Á¶¼º¹ü | ![]() |
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16 | ±è¹Î±¸ | ![]() |
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23 | ÀÌÇý¿ø | ![]() |
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23 | ±è¿Á±¸ | ![]() |
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30 | ÇÑ¹Ì·É | ![]() |
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30 | ¹ÚÀ¯¶û | ![]() |
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2005 | March(3) | |||
7 | ¹ÚÀ¯¶û | ![]() |
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7 | ±è¹ÌÇö | ![]() |
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14 | ³ª¿µÁö | ![]() |
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14 | Á¤Å¼ö | ![]() |
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26 | Á¤Å¼ö | ![]() |
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26 | ±èÁöÈÆ | ![]() |
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2005 | February(2) | |||
14 | À̼ö¿¬ | ![]() |
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14 | ÀÌÇý¿ø | ![]() |
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21 | ±è¹Î±¸ | ![]() |
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21 | Á¶¼º¹ü | ![]() |
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28 | ÇÑ¹Ì·É | ![]() |
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28 | ±è¿Á±¸ | ![]() |
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2005 | January(1) | |||
03 | ¹ÚÀ¯¶û | ![]() |
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03 | ±è¹ÌÇö | ![]() |
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10 | ±èÁöÈÆ | ![]() |
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10 | ¼ÈÁ¤ | ![]() |
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24 | Á¤Å¼ö |
Hidden Markov Models Approach to the Analysis of Array CGH Data |
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24 | ¹ÚÂùÈñ | ![]() |
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31 | À±Çý¼º | A graph-theoretic approach to test disparate datatypes |
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31 | Á¤ÈñÁØ | Structuration of Phenotypes / Genotypes through Galois Lattices and Implications | ![]() |
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  | PSB2005 Review | |||
17 | Á¤Å¼ö |
GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data |
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17 | Á¤Å¼ö |
Sparse Factorizations of Gene Expression Guided by Binding Data |
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17 | Á¤ÈñÁØ | Ontology Driven Dynamic Linking of Biology Resources |
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17 | Á¤ÈñÁØ | Parameterization of A Nonlinear Genotype to Phenotype Map Using Molecular networks |
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17 | ÇÑ¹Ì·É | GOTREES: Predicting GO associations from protein domain composition using decision trees |
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17 | ÇÑ¹Ì·É | Multi-Aspect gene relation analysis |
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17 | ³ª¿µÁö | Explatory Visual Analysis Of Pharmacogenomic Results |
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2004 | December(12) | |||
4 | ¹ÚÂùÈñ |
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4 | ¼ÈÁ¤ |
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11 | À±Çý¼º | Protecting DNA Sequence Anonymity with Generalization Lattices |
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11 | Á¤Å¼ö |
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18 | Á¤ÈñÁØ | ![]() |
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18 | ±è¹Î±¸ | ![]() |
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27 | ÀÌÇý¿ø | ![]() |
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27 | ÇÑ¹Ì·É | ![]() |
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2004 | November(11) | |||
6 | Á¤Å¼ö | ![]() |
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6 | ¹ÚÀ¯¶û | ![]() |
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13 | Á¤ÈñÁØ | ![]() |
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13 | ÀÌÇý¿ø | ![]() |
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13 | ÇÑ¹Ì·É | ![]() |
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20 | ±èÁöÈÆ | ![]() |
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20 | ±è¹ÌÇö | ![]() |
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27 | À̼®È£ | ![]() |
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27 | ¹ÚÀ¯¶û | ![]() |
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2004 | October(10) | |||
02 | À±Çý¼º | Mining Scale-free Networks using Geodesic Clustering |
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02 | ±è¹ÌÇö | ![]() |
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09 | À̼®È£ | ![]() |
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09 | ÇÑ¹Ì·É | ![]() |
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16 | ±è¹Î±¸ | ![]() |
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16 | ±èÁöÈÆ | ![]() |
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23 | ¼ÈÁ¤ |
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25 | ¹ÚÂùÈñ | ![]() |
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30 | ÀÌÇý¿ø | ![]() |
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2004 | September(9) | |||
4 | Á¤ÈñÁØ | ![]() |
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4 | ÀÌÇý¿ø | ![]() |
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11 | ±è¹Î±¸ | Biclustering Algorithms for Biological Data Analysis: A Survey |
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11 | Á¤Å¼ö | ![]() |
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18 | Á¤ÈñÁØ | Biological data and conceptual modelling methods |
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2004 | August(8) | |||
7 | ±èÁöÈÆ | ![]() |
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7 | À̼®È£ | ![]() |
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14 | ±è¹ÌÇö | ![]() |
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14 | ¼ÈÁ¤ | ![]() |
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21 | ±è¹Î±¸ | ![]() |
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21 | ±è±â¿ø | ![]() |
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28 | ¹ÚÀ¯¶û | ![]() |
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28 | ÇÑ¹Ì·É | ![]() |
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  | ISMB2004 Review | |||
31 | Á¤Å¼ö | Inferring quantitative models of regulatory networks from expression data |
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31 | ±è¹Î±¸ | ![]() |
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31 | ¹ÚÀ¯¶û | Mining MEDLINE for implicit links between dietary substances and diseases |
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31 | ±è±â¿ø | ![]() |
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31 | ¹ÚÂùÈñ | Into the heart of darkness: large scale clustering of human non-coding DNA |
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31 | ±è¹ÌÇö | ![]() |
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31 | ÇÑ¹Ì·É | Partial cox regression analysis for high-dimensional microarray gene expression data |
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31 | Á¤ÈñÁØ | ![]() |
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31 | ÀÌÇý¿ø | ![]() |
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2004 | July(7) | |||
3 | ±èÁöÈÆ(Áë) | ![]() |
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10 | ¹ÚÂùÈñ | ![]() |
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10 | À±Çý¼º | ![]() |
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24 | Á¤Å¼ö | ![]() |
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24 | ¹ÚÂùÈñ | ![]() |
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2004 | June(6) | |||
5 |
±èÁöÈÆ(H) | ![]() |
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5 | ¹ÚÀ¯¶û | ![]() |
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12 | ¼ÈÁ¤ | XML as standard for communicating in a document-based electronic patient record: a 3 years experiment. | ![]() |
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12 | ±è¹Î±¸ | ![]() |
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19 | ÇÑ¹Ì·É | ![]() |
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19 | ±è±â¿ø | ![]() |
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26 | ÀÌÇý¿ø | ![]() |
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26 | Á¤ÈñÁØ | ![]() |
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2004. | May (5) | |||
1 | ÇÑ¹Ì·É | Expression profiling to predict postoperative prognosis for estrogen receptor-negative breast cancers by analysis of 25,344 genes on a cDNA microarray | ![]() |
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1 | ¹ÚÀ¯¶û | Development of common data elements: the experience of and recommendations from the early detection research network | ![]() |
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8 | ±è±â¿ø | Discovering modes of action for therapeutic compounds using a genome-wide screen of yeast heterozygotes | ![]() |
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8 | ±èÁöÈÆ(H) | Gene
selection and clustering for time-course and dose-response microarray
experiments using order-restricted inference. |
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15 | ±èÁöÈÆ(Áë) | Quantifying the relationship between co-expression, co-regulation and gene function | ![]() |
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15 | ¹ÚÂùÈñ | GoMiner: a resource for biological interpretation of genomic and proteomic data | ![]() |
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22 | Á¤Å¼ö | Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data | ![]() |
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22 | À±Çý¼º | An Architecture for Biological Information Extraction and Representation | ![]() |
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29 | ÀÌÁ¤¾Ö | PubMatrix: a tool for multiplex literature mining. | ![]() |
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2004. | April (4) | |||
3 | ¹ÚÁö¿¬ | Biological detection of low radiation doses by combining results of two microarray analysis methods | ![]() |
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3 | ±èÁöÈÆ(Áë) | Inferring transcriptional regulation relationship from microarray time series data | ![]() |
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10 | ¼ÈÁ¤ | UML-XML-RDB Model Mapping Solution for Facilitating Information Standardization and Sharing in Construction Industry | ![]() |
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10 | ÀÌÁ¤¾Ö | Selective automated indexing of findings and diagnoses in radiology reports | ![]() |
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17 | Á¤Å¼ö | Discovering molecular pathways from protein interaction and gene expression data | ![]() |
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17 | ±èÁöÈÆ(H) | Differential amplification of gene expression in lens cell lines conditioned to survive peroxide stress | ![]() |
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24 | ÀÌÇý¿ø | Common structural patterns in human genes. | ![]() |
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24 | ±è¹Î±¸ | Network-based approach for the comprehensive mapping between biological identifiers | ![]() |
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2004. | March (3) | |||
6 | ÀÌÇý¿ø | Molecular profiling of mouse lung tumors: association with tumor progression, lung development, and human lung adenocarcinomas | ![]() |
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6 | ±è¹Î±¸ | Meta-databases providing collection of hyperlinks | ![]() |
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13 | ÇÑ¹Ì·É | Gene expression predictors of breast cancer outcomes | ![]() |
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13 | ¹ÚÀ¯¶û | Ontology Versioning as an Element of an Ontology-Management Framework | ![]() |
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20 | ±è±â¿ø | Chipping away at the chip bias: RNA degradation in microarray analysis | ![]() |
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20 | Á¤ÈñÁØ | The PEPR GeneChip data warehouse, and implementation of a dynamic time series query tool (SGQT) with graphical interface | ![]() |
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27 | À±Çý¼º | A new distributed data mining model based on similarity | ![]() |
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27 | ¹ÚÂùÈñ | Pharmacogenetics: potential for individualized drug therapy through genetics | ![]() |
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2004. | February (2) | |||
7 | ±èÁöÈÆ(Áë) | Statistical resynchronization and Bayesian detection of periodically expressed genes | ![]() |
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7 | ¹ÚÂùÈñ | Automatic extraction of mutations from Medline and cross-validation with OMIM | ![]() |
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14 | ¹ÚÁö¿¬ | A Mapping Schema and Interface for XML Stores | ![]() |
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14 | ¼ÈÁ¤ | Presenting XML-based medical discharge letters according to CDA | ![]() |
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21 | À±Çý¼º | CloseGraph: Mining Closed Frequent Graph Patterns | ![]() |
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21 | ÀÌÁ¤¾Ö | Towards linking patients and clinical information: detecting UMLS concepts in e-mail | ![]() |
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28 | Á¤Å¼ö | ESPD: a pattern detection model underlying gene expression profiles | ![]() |
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28 | Á¤ÈñÁØ | Computational knowledge integration in biopharmaceutical research | ![]() |
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2004. | January (1) | |||
3 | ¼ÈÁ¤ | XPERANTO:
Publishing Object-Relational Data as XML [Reference] Querying XML Views of Relational Data |
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3 | Á¤ÈñÁØ | GenePublisher: Automated analysis of DNA microarray data | ![]() |
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10 | ÀÌÇý¿ø | Gene expression profile of normal lungs predicts genetic predisposition to lung cancer in mice | ![]() |
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10 | ±è¹Î±¸ | A protein interaction map of Drosophila melanogaster | ![]() |
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17 | ÇÑ¹Ì·É | Differentiation of lobular versus ductal breast carcinomas by expression microarray analysis | ![]() |
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17 | ¹ÚÀ¯¶û | caCORE: A common infrastructure for cancer informatics | ![]() |
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31 | ±è±â¿ø | Prediction of regulatory networks: genome-wide identification of transcription factor targets from gene expression data | ![]() |
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31 | ±èÁöÈÆ(H) | EVALUATION AND COMPARISON OF CLUSTERING ALGORITHMS IN ANGLYZING ES CELL GENE EXPRESSION DATA | ![]() |
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