Date
ǥ |
03 | 이시은 | ||
03 | 전예진 | Genetic drug target validation using Mendelian randomisation | ![]() |
10 | 윤미선 | ||
10 | 조민아 | ||
17 | 부은경 | ||
17 | 차재현 | ||
24 | 이시은 | ||
24 | 유준기 | ||
31 | 임성수 | ||
31 | 권호식 |
07 | Time to Rethink the Genetic Architecture of Long QT Syndrome | ![]() |
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07 | 유경훈 | A genetics-led approach defines the drug target landscape of 30 immune-related traits | ![]() |
14 | ӿ | Identification of cancer driver genes based on nucleotide context | ![]() |
14 | 최선 | A Hybrid Health Journey Recommender System using Electronic Medical Record | ![]() |
21 | 정문경 | The mechanisms of pharmacokinetic food_drug interactions_A perspective from the UNGAP group | ![]() |
21 | ֿ | Estimated nationwide impact of implementing a preemptive pharmacogenetic panel approach to guide drug prescribing in primary care in The Netherlands | ![]() |
28 | 국수경 | Integrative analysis of multi-omics data identified EGFR and PTGS2 as key nodes in a gene regulatory network related to immune phenotypes in head and neck cancer | ![]() |
28 | 채정환 | The complex genetic landscape of familial MDS and AML reveals pathogenic germline variants | ![]() |
15 | ̰ȭ | InSiGHT | ![]() |
15 | ӿ | Discovery and saturation analysis of cancer genes across 21 tumour types | ![]() |
24 | α | Differential coexpression analysis using microarray data and its application to human cancer | ![]() ![]() |
31 | Overview of BioCreAtIvE: critical assessment of information extraction for biology | ![]() ![]() |
07 | Diagnostic plots for detecting outlying slides in a cDNA microarray experiment | ![]() ![]() |
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07 | Modularized learning of genetic interaction networks from biological annotations and mRNA expression data | ![]() ![]() |
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14 | ¼ | NETWORK BIOLOGY: UNDERSTANDING THE CELLS FUNCTIONAL ORGANIZATION | ![]() ![]() |
21 | RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples | ![]() ![]() |
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28 | GeneWays: a system for extracting, analyzing, visualizing,and integrating molecular pathway data | ![]() ![]() |
03 | ȭ | XPERANTO: Publishing Object-Relational Data as XML | ![]() ![]() |
03 | GenePublisher: Automated analysis of DNA microarray data | ![]() ![]() |
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10 | Gene expression profile of normal lungs predicts genetic predisposition to lung cancer in mice | ![]() ![]() |
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10 | α | A protein interaction map of Drosophila melanogaster | ![]() ![]() |
17 | ѹ̷ | Differentiation of lobular versus ductal breast carcinomas by expression microarray analysis | ![]() ![]() |
17 | caCORE: A common infrastructure for cancer informatics | ![]() ![]() |
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31 | Prediction of regulatory networks: genome-wide identification of transcription factor targets from gene expression data | ![]() ![]() |
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31 | (H) | EVALUATION AND COMPARISON OF CLUSTERING ALGORITHMS IN ANGLYZING ES CELL GENE EXPRESSION DATA | ![]() ![]() |
05 | The Role of Domain Knowledge in Automating Medical Text Report Classification | ![]() ![]() |
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19 | (H) | Genetics of gene expression surveyed in maize, mouse and man | ![]() ![]() |
03 | Gene Functional classification by Semi-supervised Learning from Heterogeneous Data | ![]() ![]() |
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10 | A literature-based method for assessing the functional coherence of a gene group | ![]() ![]() |
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14 | ȭ | Designing and implementing special-purpose databases: lessons from the pharmacogenetic network | ![]() ![]() |
24 | (H) | Diagnosis of multiple cancer types by shrunken centroids of gene expression | ![]() ![]() |
06 | (H) | Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer | ![]() ![]() |
13 | A multivariate approach applied to microarray data for identification of genes with cell cycle-coupled transcription | ![]() ![]() |
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20 | Knowledge acquisition, consistency checking and concurrency control for Gene Ontology (GO) | ![]() ![]() |
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27 | A database on alternative splice forms on the Integrated Genetic Map Service (IGMS) | ![]() |
06 | MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data | ![]() ![]() |
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13 | ȭ | A user-centered model for web site design: needs assessment, user interface design, and rapid prototyping | ![]() ![]() |
20 | Mining gene expression databases for association rules | ![]() ![]() |
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27 | Associating Genes with Gene Ontology Codes Using a Maximum Entropy Analysis of Biomedical Literature | ![]() ![]() |
09 | (H) | Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors | ![]() ![]() |
16 | Microarray analysis of orthologous genes: conservation of the translational machinery across species at the sequence and expression level | ![]() ![]() |
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23 | SNPper: retrieval and analysis of human SNPs | ![]() ![]() |
05 | XML for electronic clinical communications in Scotland | ![]() ![]() |
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12 | ȭ | Integrating medical information and knowledge in the HL7 RIM | ![]() ![]() |
26 | Clustering gene expression data using a graph-theoretic approach: an application of minimum spanning trees | ![]() ![]() |
10 | A bioinformatic strategy to rapidly characterize cDNA libraries | ![]() ![]() |
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17 | ȭ | Plug-and-play XML: a health care perspective | ![]() ![]() |
24 | Handling Very Large Numbers of Association Rules in the Analysis of Microarray Data | ![]() ![]() |
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31 | (H) | Variance stabilization applied to microarray data calibration and to the quantification of differential expression | ![]() ![]() |
22 | Discrimination between paralogs using microarray analysis: Application to the Yap1p and Yap2p transcriptional networks | ![]() ![]() |
20 | Computational identification of transcription factor binding sites via a transcription-factor-centric clustering (TFCC) algorithm | ![]() ![]() |
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25 | A cluster validity framework for genome expression data | ![]() ![]() |