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2023-06:
21 배소정 Heterogeneous response to Glucocorticoids in breast cancer cells  MAInfo

2023-03:
25 배소정 Single-cell RNA sequencing reveals a heterogeneous response to Glucocorticoids in breast cancer cells     J.Club

2022-08:
13 최선 Integrative multiomics-histopathology analysis for breast cancer classification     J.Club

2022-06:
14 ̿ Prognostic significance of allele-specific loss of heterozygosity in triple-negative breast cancer  Seminar

2022-05:
19 ̿ Prognostic significance of allele-specific loss of heterozygosity in triple-negative breast cancer   TopicSem
24 ̿ Prognostic significance of allele-specific loss of heterozygosity in triple-negative breast cancer  Seminar

2022-04:
18 ̿ Prognostic significance of allele-specific loss of heterozygosity in triple-negative breast cancer  TopicSem

2022-03:
24 ̿ The Prognostic Potential of Allele Specific Loss of Heterozygosity in Triple Negative Breast Cancer  TopicSem

2022-01:
20 ̿ Mutational analysis of triple-negative breast cancer using targeted kinome sequencing  MAInfo
29 최선 Multi-omic machine learning predictor of breast cancer therapy response     J.Club

2021-12:
18 부은경 A polygenic-score-based approach for identification of gene-drug interactions stratifying breast cancer risk     J.Club

2021-11:
01 ̿ Prognostic Potential of Loss of Heterozygosity in Triple Negative Breast Cancer  TopicSem

2021-09:
27 ̿ Prognostic Potential of Loss of Heterozygosity in Triple Negative Breast Cancer  TopicSem

2021-07:
22 ̿ Prognostic Potential of Loss of Heterozygosity in Triple Negative Breast Cancer  TopicSem

2021-01:
09 정문경 When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot     J.Club

2020-12:
07 ̿ Triple Negative Breast Cancer TMB Analysis  xMutant

2020-10:
29 ̿ Triple Negative Breast Cancer Genome Analysis  TopicSem

2020-09:
17 ̿ Triple Negative Breast Cancer Analysis  xMutant

2020-08:
08 채정환 Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses     J.Club

2019-11:
18 안세환 Breast cancer(adenocarcinoma) data in L1000  BioEMR
23 채정환 Low Dose of Paclitaxel Combined with XAV939 Attenuates Metastasis, Angiogenesis and Growth in Breast Cancer by Suppressing Wnt Signaling.     J.Club

2019-06:
22 채정환 Genomic and Transcriptomic Landscape of Triple-Negative Breast Cancers: Subtypes and Treatment Strategies     J.Club

2018-11:
19 ̿ Analysis of LOH Affecting Breast Cancer Survival   TopicSem

2018-08:
02 채정환 Breast cancer patient analysis using TCGA database   TopicSem
14 Basal like triple negative breast cancer is susceptible to drugs targeting cell cycle and histone acetylation.  xMutant
14 Basal like triple negative breast cancer is susceptible to drugs targeting cell cycle and histone acetylation.  xMutant
14 Basal like triple negative breast cancer is susceptible to drugs targeting cell cycle and histone acetylation.  xMutant
14 Basal like triple negative breast cancer is susceptible to drugs targeting cell cycle and histone acetylation.  xMutant
14 Basal like triple negative breast cancer is susceptible to drugs targeting cell cycle and histone acetylation.  xMutant

2018-07:
23 채정환 breast cancer patient RNA-seq data analysis  MAInfo
24 채정환 breast cancer patient SNV analysis  xMutant
24 채정환 breast cancer patient SNV analysis  xMutant
24 채정환 breast cancer patient SNV analysis  xMutant

2018-04:
16 채정환 coding and non-coding gene variants associated with gene expression and outcome in breast cancer subtypes  MAInfo
26 ̿ Comprehensive genetic alteration profiling for Triple-negative Breast Cancer patients by targeted kinome sequencing  TopicSem

2018-01:
06 Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification     J.Club

2017-12:
06 ȣ CPTAC and TCGA Breast Cancer samples, data  MAInfo
20 Microarray data analysis of multi-center breast cancer patients with distant metastasis  TopicSem

2017-11:
11 ̿ Overexpressed Somatic Alleles are Enriched in Functional Elements in Breast Cancer     J.Club

2017-10:
28 MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays     J.Club

2017-09:
23 κ Evaluation of ACMG-Guideline-Based Variant Classification of Cancer Susceptibility and Non-Cancer- Associated Genes in Families Affected by Breast Cancer     J.Club

2017-07:
12 Intern Identification of driver mutations in breast cancer  Seminar

2017-02:
25 ȣ Circular RNAs and their associations with breast cancer subtypes     J.Club

2017-01:
18 ̿ Survival analysis of Loss of Heterozygosity in triple-negative breast cancer  xMutant

2016-12:
30 Identification of prognostic aberrant splicing event pairs using pairwise survival analysis in invasive breast cancer patients  Seminar

2016-10:
01 Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer      J.Club

2016-02:
20 SRSF1-Regulated Alternative Splicing in Breast Cancer     J.Club

2015-11:
11 Matched-pair analysis of a breast cancer patient.  TopicSem

2015-10:
13 Microarray-calcification analysis in 182 breast cancer patients  xMutant

2015-07:
11 Integration of somatic mutation, expression, and functional data reveals potential driver genes predictive of breast cancer survival     J.Club

2014-10:
04 Breast Cancer Risk in Families with Mutations in PALB2     J.Club

2014-07:
24 Intern Prognosis markers in breast cancer  Seminar

2013-10:
26 Germline variation in TP53 regulatory network genes associates with breast cancer survival and treatment outcome  J.Club

2013-07:
06 ӿ CpG island shore methylation regulates caveolin-1 expression in breast cancer       J.Club

2013-06:
29 ̿ The Life History of 21 Breast Cancers     J.Club

2013-05:
11 ӿ DNA co-methylation analysis suggests novel functional associations between gene pairs in breast cancer samples     J.Club

2012-11:
07 A genome-wide genetic interactions map for breast cancer survival  TopicSem
29 genetic interaction for breast cancer  xMutant
29 genetic interaction for breast cancer  xMutant

2012-10:
10 discovering genetic interactions in breast cancer progression and treatment  TopicSem
26 A genome-wide genetic interactions map for breast cancer survival  MAInfo
30 A genome-wide genetic interactions map for breast cancer survival  xMutant

2012-09:
03 ̰ȭ ReDocumentation Plan of CCR+ - Breast Cancer Survivor Treatment Summary  TopicSem
05 discovering genetic interactions in breast cancer progression and treatment  TopicSem

2012-08:
08 discovering genetic interactions in breast cancer progression and treatment  TopicSem
28 ̰ȭ Design of the Breast Cancer Survivor Management Agent  BioEMR

2012-07:
02 discovering genetic interactions in breast cancer progression and treatment  TopicSem
28 analysis of epistatic interaction for breast cancer survival  xMutant

2012-06:
13 discovering genetic interactions in breast cancer progression and treatment  TopicSem
19 Breast cancer transcriptome analysis using weighted PPI Network  MAInfo
26 ̰ȭ Personalize medicine for cancer survivor-breast cancer  BioEMR
30 Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record     J.Club

2012-05:
01 Breast cancer transcriptome analysis using weighted PPI Network  MAInfo
12 Transcriptomic landscape of breast cancers through mRNA sequencing     J.Club
29 Building And Visualizing Breast Cancer Co-expression Network  MAInfo

2012-04:
12 screen for cooperatively working gene pair in breast cancer  MAInfo
19 RNA-seq data analysis in breast cancer by protein-protein interaction database  xMutant
19 RNA-seq data analysis in breast cancer by protein-protein interaction database  xMutant
19 RNA-seq data analysis in breast cancer by protein-protein interaction database  xMutant
19 RNA-seq data analysis in breast cancer by protein-protein interaction database  xMutant

2012-02:
07 ̼S Clinical risk incorporating genetic-risk estimates for breast cancer  Seminar

2011-11:
16 ̼S Clinical risk incorporating genetic-risk estimates for breast cancer  TopicSem

2011-10:
24 ̼S Clinical risk incorporating genetic-risk estimates for breast cancer and research trends predicting disease risk   TopicSem

2011-09:
19 ̼S Clinical risk incorporating genetic-risk estimates for breast cancer  TopicSem

2010-04:
02 A metadata approach for clinical data management in translational genomics studies in breast cancer.  BioEMR
24 A metadata approach for clinical data management in translational genomics studies in breast cancer.     J.Club

2009-10:
10 Rocky mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer     J.Club
17 Gene expression signatures, clinicopathological features, and individualized therapy in breast cancer     J.Club
19 Rocky Investigating differential regulatory effects of microRNAs in breast cancer from mRNA/miRNA expression profiles  Seminar
28 Rocky Investigating differential regulatory effects of microRNAs in breast cancer from mRNA/miRNA expression profiles  Seminar

2008-11:
24 Pathway-based classification analysis of breast cancer microarray data  Seminar

2008-08:
18 Breast Cancer Data Analysis using boostKDBC-III  Seminar

2008-07:
03 Breast cancer data analysis using boostKDBC  Seminar
28 Analysis of Breast Cancer Data Set using boostKDBC     Seminar

2008-03:
07 ҿ Interleukin-1 alpha gene and breast cancer risk  Seminar
29 Merging microarray data from separate breast cancer studies provides a robust prognostic test     J.Club

2007-09:
29 Identification of aberrant chromosomal regions from gene expression microarray studies applied to human breast cancer       J.Club

2007-05:
16 ѹ̷ MCF7 breast cancer data analysis  Seminar

2007-04:
18 ѹ̷ Analysis of the molecular subtypes of breast cancer  Seminar

2007-03:
31 Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian network     J.Club

2006-11:
08 Identification of stage associated genes in breast carcinoma [meta analysisbreast cancer]    Seminar

2006-10:
13 ѹ̷ Factors affecting breast cancer recurrence - a classification tree approach -  Seminar

2006-06:
07 Meta-analytic approach of breast cancer  xMutant

2006-05:
10 Breastome : Meta-analytic approach of breast cancer  xMutant

2005-07:
11 ѹ̷ aCGH analysis of ER-positive breast cancer [MAInfo] Seminar

2005-04:
06 ѹ̷ Analysis of breast cancer arrayCGH data  MAInfo
27 ѹ̷ Breast Cancer Array CGH analysis review  MAInfo

2005-02:
02 ѹ̷ Breast cancer aCGH data & Normalization  MAInfo

2005-01:
12 ѹ̷ Analysis of arrayCGH breast cancer data  MAInfo

2004-12:
15 ѹ̷ Analysis of arrayCGH breast cancer data using GLAD  MAInfo

2004-11:
03 ѹ̷ Molecular Profiling of Clinical Features in Breast Cancer Using Principal Component Analysis  MAInfo

2004-09:
22 ѹ̷ Survival analysis of Breast cancer  MAInfo

2004-08:
11 ѹ̷ PCA analysis of Breast cancer data  MAInfo
28 ѹ̷ Prediction of prognosis of estrogen receptor-positive breast cancer with combination of selected estrogen-regulated genes.       J.Club

2004-06:
16 ѹ̷ 27 ER(-) breast cancers with/without recurrence  MAInfo

2004-05:
01 ѹ̷ Expression profiling to predict postoperative prognosis for estrogen receptor-negative breast cancers by analysis of 25,344 genes on a cDNA microarray       J.Club
18 ѹ̷ Molecular profilingof clinical features in breast cancer using principal components analysis [DataAnalysis] Seminar

2004-03:
13 ѹ̷ Gene expression predictors of breast cancer outcomes       J.Club

2003-11:
27 ѹ̷ Stanford Breast Cancer Microarray Data  MAInfo
29 ѹ̷ Molecular classification of familial non-BRCA1/BRCA2 breast cancer       J.Club

2003-10:
11 ѹ̷ Gene expression profiles of human breast cancer progression       J.Club
16 ѹ̷ Molecular profiles of invasive mucinous and ductal carcinoma of the breast cancer  MAInfo

2003-03:
06 (H) Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer       J.Club

-:
breast cancer patient SNV analysis  xMutant
coding and non-coding gene variants associated with gene expression profiles and outcome in breast cancer subtypes  MAInfo
Breast cancer(adenocarcinoma) data in L1000  BioEMR
breast cancer patient RNA-seq data analysis  MAInfo

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