08/1/8 | Zhibao | |
07/12/11 | Sunghee | |
07/12/4 | Kui | |
07/11/20 | Chunrong Jia | rehearsal for proposals |
07/11/13 | Shuya | identifying correlated genes across studies |
07/11/6 | Zhiboa | module-based prediction model |
07/10/30 | Jia | Meta-analysis of microarray data |
07/10/23 | Chunrong | cross-platform prediction |
07/10/16 | Sunghee | Correlation of extreme values |
07/10/2 | Kui | Multi-resolution clustering |
07/9/25 | Shuya | review paper |
07/9/18 | Zhibao | module-based prediction model |
07/9/11 | Jia | meta-analysis in microarray |
07/9/4 | Chunrong | cross-dataset prediction and improved DE gene detection method |
07/8/27 | Sunghee | extreme value correlation and identify correlated genes across species |
07/8/20 | George | evolution of gene identifiers and issues in gene matching across data sets |
07/8/13 | Kui Shen | improved tight clustering/multi-resolution clustering |
07/8/6 | Sunghee | extreme value correlation and identify correlated genes across species |
07/7/16 | Jia Li | meta-analysis in microarray |
07/7/9 | Zhibao | robust prediction in microarray |
07/7/2 | Chunrong | cross-dataset prediction in microarray |
07/5/18 | Sunghee | The connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes and Disease. Science. 2006 |
07/5/11 | Chunrong | From signature to models: understanding cancer using microarrays. Nature Genetics. 2005 |
07/5/4 | Jia | A module map showing conditional activity of expression modules in cancer. Nature Genetics. 2004 |
07/4/13 | Sunghee | analysis on human and mouse depression; simulation on extreme correlation |
07/4/6 | Zhibao | a robust prediction method |
07/3/30 | Joshua | preparing microarray data packages and annotations in Bioconductor |
07/3/23 | Jia | update on meta-analysis project |
07/2/16 | Joshua | review paper: Bayesian models for pooling microarray studies with multiple sources of replications. |
07/2/9 | George | Quantile map: visualizing and summarizing patterns of multiple distributions with Fisher information and empirical Bayes. |
07/2/2 | Chunrong | review paper: Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes. |
07/1/26 | Sunghee | review paper: Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. |
07/1/19 | Jia | review 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 | George | Statistical 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 | Sunghee | Metastasis of ovarian and endometrial cancer in expression profiles |
06/10/16 | Chunrong | Cross-organ classification analysis on expression profiles of liver and prostate cancer |
06/10/02 | George | Selection of missing value imputation methods in microarray |
06/09/25 | Jia | Increasingly exhaustive gene/covariate selection |
06/09/18 | Chunrong | KNN-SAM |
06/09/11 | Zhibao | Correlation-based KNN in missing value imputation |
06/08/30 | Sunghee | Analysis of human depression data |
06/08/03 | Chunrong | Meta-analysis on prostate and lung cancer data |
06/07/13 | George | Summary of all projects. Penalized and weighted K-means. |