Disease signatures are robust across tissues and experiments
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[1] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[2] S. P. Fodor,et al. Using oligonucleotide probe arrays to access genetic diversity. , 1995, BioTechniques.
[3] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[4] Gregory D. Schuler,et al. Database resources of the National Center for Biotechnology Information , 2021, Nucleic Acids Res..
[5] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[6] Microarray standards at last , 2002, Nature.
[7] E. Lander,et al. A molecular signature of metastasis in primary solid tumors , 2003, Nature Genetics.
[8] Rainer Breitling,et al. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments , 2004, FEBS letters.
[9] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[10] P. Brown,et al. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[11] A. Whitehead,et al. Variation in tissue-specific gene expression among natural populations , 2005, Genome Biology.
[12] D. Botstein,et al. A DNA microarray survey of gene expression in normal human tissues , 2005, Genome Biology.
[13] D. Koller,et al. A module map showing conditional activity of expression modules in cancer , 2004, Nature Genetics.
[14] John Quackenbush,et al. Multiple-laboratory comparison of microarray platforms , 2005, Nature Methods.
[15] A. Chinnaiyan,et al. Integrative analysis of the cancer transcriptome , 2005, Nature Genetics.
[16] Rong Chen,et al. Finding Disease-Related Genomic Experiments Within an International Repository: First Steps in Translational Bioinformatics , 2006, AMIA.
[17] Paul A Clemons,et al. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease , 2006, Science.
[18] Olga G. Troyanskaya,et al. A scalable method for integration and functional analysis of multiple microarray datasets , 2006, Bioinform..
[19] Maqc Consortium. The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements , 2006, Nature Biotechnology.
[20] F. Luft,et al. The protean face of sarcoidosis revisited. , 2006, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[21] Jeffrey T. Chang,et al. Oncogenic pathway signatures in human cancers as a guide to targeted therapies , 2006, Nature.
[22] Atul J. Butte,et al. Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes , 2007, Bioinform..
[23] R. Irizarry,et al. A gene expression bar code for microarray data , 2007, Nature Methods.
[24] Hyungwon Choi,et al. A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments , 2007, BMC Bioinformatics.
[25] A. Butte,et al. AILUN: reannotating gene expression data automatically , 2007, Nature Methods.
[26] C. Sotiriou,et al. Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures , 2007, Breast Cancer Research.
[27] Joel Dudley,et al. Enabling Integrative Genomic Analysis of High Impact Human Diseases Through Text Mining , 2007, Pacific Symposium on Biocomputing.
[28] Susmita Datta,et al. Finding common genes in multiple cancer types through meta-analysis of microarray experiments: a rank aggregation approach. , 2008, Genomics.
[29] J. Astola,et al. Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues , 2008, Genome Biology.
[30] Eric E Schadt,et al. Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease. , 2009 .
[31] Qinghua Wang,et al. Insulin as a physiological modulator of glucagon secretion. , 2008, American journal of physiology. Endocrinology and metabolism.
[32] T. Noda,et al. Molecular mechanism of moderate insulin resistance in adiponectin-knockout mice. , 2008, Endocrine journal.
[33] Ibrahim Emam,et al. ArrayExpress update—from an archive of functional genomics experiments to the atlas of gene expression , 2008, Nucleic Acids Res..
[34] Joel Dudley,et al. Identification of Discriminating Biomarkers for Human Disease Using Integrative Network Biology , 2008, Pacific Symposium on Biocomputing.
[35] G. Azabdaftari,et al. Refinement of breast cancer classification by molecular characterization of histological special types , 2009 .
[36] 陶仲为. Sarcoidosis , 2009 .