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Group Meetings

08/1/8 Zhibao
07/12/11 Sunghee
07/12/4 Kui
07/11/20 Chunrong
Jia
rehearsal for proposals
07/11/13 Shuyaidentifying correlated genes across studies
07/11/6 Zhiboamodule-based prediction model
07/10/30 JiaMeta-analysis of microarray data
07/10/23 Chunrongcross-platform prediction
07/10/16 SungheeCorrelation of extreme values
07/10/2 KuiMulti-resolution clustering
07/9/25 Shuyareview paper
07/9/18 Zhibaomodule-based prediction model
07/9/11 Jiameta-analysis in microarray
07/9/4 Chunrongcross-dataset prediction and improved DE gene detection method
07/8/27 Sungheeextreme value correlation and identify correlated genes across species
07/8/20 Georgeevolution of gene identifiers and issues in gene matching across data sets
07/8/13 Kui Shenimproved tight clustering/multi-resolution clustering
07/8/6 Sungheeextreme value correlation and identify correlated genes across species
07/7/16 Jia Limeta-analysis in microarray
07/7/9 Zhibaorobust prediction in microarray
07/7/2 Chunrongcross-dataset prediction in microarray
07/5/18 SungheeThe connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes and Disease. Science. 2006
07/5/11 ChunrongFrom signature to models: understanding cancer using microarrays. Nature Genetics. 2005
07/5/4 JiaA module map showing conditional activity of expression modules in cancer. Nature Genetics. 2004
07/4/13 Sungheeanalysis on human and mouse depression; simulation on extreme correlation
07/4/6 Zhibaoa robust prediction method
07/3/30 Joshuapreparing microarray data packages and annotations in Bioconductor
07/3/23 Jiaupdate on meta-analysis project
07/2/16 Joshuareview paper: Bayesian models for pooling microarray studies with multiple sources of replications.
07/2/9 GeorgeQuantile map: visualizing and summarizing patterns of multiple distributions with Fisher information and empirical Bayes.
07/2/2 Chunrongreview paper: Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes.
07/1/26 Sungheereview paper: Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.
07/1/19 Jiareview paper: Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer.
Meta-analysis ofmicroarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer.
06/12/18 Jia
Sunghee
review NBT MAQC paper: Using RNA sample titrations to assess microarray platform performance and normalization techniques.
review NBT MAQC paper: Evaluation of DNA microarray results with quantitative gene expression platforms.
06/11/27 GeorgeStatistical integrative analysis of multiple expression profiles
review NAR paper (Chunrong): Evaluation of gene expression measurements from commercial microarray platforms.
06/11/20 Zhibao update on KNN.e imputation
review NBT MAQC paper (George): The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
06/11/06 Jia gene selection in classification of microarray data
06/10/30 SungheeMetastasis of ovarian and endometrial cancer in expression profiles
06/10/16 ChunrongCross-organ classification analysis on expression profiles of liver and prostate cancer
06/10/02 GeorgeSelection of missing value imputation methods in microarray
06/09/25 JiaIncreasingly exhaustive gene/covariate selection
06/09/18 ChunrongKNN-SAM
06/09/11 ZhibaoCorrelation-based KNN in missing value imputation
06/08/30 SungheeAnalysis of human depression data
06/08/03 ChunrongMeta-analysis on prostate and lung cancer data
06/07/13 GeorgeSummary of all projects. Penalized and weighted K-means.