Target discovery from data mining approaches.
暂无分享,去创建一个
Yongliang Yang | S James Adelstein | Amin I Kassis | S. Adelstein | A. Kassis | Yongliang Yang | S. Adelstein
[1] Atul Butte,et al. The use and analysis of microarray data , 2002, Nature Reviews Drug Discovery.
[2] Barend Mons,et al. Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation , 2007, BMC Bioinformatics.
[3] K. Bretonnel Cohen,et al. Getting Started in Text Mining , 2008, PLoS Comput. Biol..
[4] Limsoon Wong,et al. Accomplishments and challenges in literature data mining for biology , 2002, Bioinform..
[5] Seungyoon Nam,et al. Clinical validity of the lung cancer biomarkers identified by bioinformatics analysis of public expression data. , 2007, Cancer research.
[6] Sophia Ananiadou,et al. Text mining and its potential applications in systems biology. , 2006, Trends in biotechnology.
[7] E. Jacoby,et al. Chemogenomics: an emerging strategy for rapid target and drug discovery , 2004, Nature Reviews Genetics.
[8] Alon Y. Halevy,et al. Data integration and genomic medicine , 2007, J. Biomed. Informatics.
[9] Jun'ichi Tsujii,et al. New challenges for text mining: mapping between text and manually curated pathways , 2008, BMC Bioinformatics.
[10] D. Rebholz-Schuhmann,et al. Facts from Text—Is Text Mining Ready to Deliver? , 2005, PLoS biology.
[11] Ho Jeong Kwon. Discovery of new small molecules and targets towards angiogenesis via chemical genomics approach. , 2006, Current drug targets.
[12] Steven Butcher. Target Discovery and Validation in the Post-Genomic Era , 2003, Neurochemical Research.
[13] A. Chinnaiyan,et al. Bioinformatics Strategies for Translating Genome‐Wide Expression Analyses into Clinically Useful Cancer Markers , 2004, Annals of the New York Academy of Sciences.
[14] De-An Guo,et al. Proteomics Characterization of the Cytotoxicity Mechanism of Ganoderic Acid D and Computer-automated Estimation of the Possible Drug Target Network*S , 2008, Molecular & Cellular Proteomics.
[15] Arthur Wuster,et al. Chemogenomics and biotechnology. , 2008, Trends in biotechnology.
[16] Pavel Pospisil,et al. Computational modeling and experimental evaluation of a novel prodrug for targeting the extracellular space of prostate tumors. , 2007, Cancer research.
[17] Lakshmanan K. Iyer,et al. A combined approach to data mining of textual and structured data to identify cancer-related targets , 2006, BMC Bioinformatics.
[18] S. Adelstein,et al. Integrative Genomic Data Mining for Discovery of Potential Blood-Borne Biomarkers for Early Diagnosis of Cancer , 2008, PloS one.
[19] F. Sams-Dodd. Target-based drug discovery: is something wrong? , 2005, Drug discovery today.
[20] Fabien Campagne,et al. Mining expressed sequence tags identifies cancer markers of clinical interest , 2006, BMC Bioinformatics.
[21] T. Gilliam,et al. Molecular triangulation: bridging linkage and molecular-network information for identifying candidate genes in Alzheimer's disease. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[22] Patrik D'haeseleer,et al. How does gene expression clustering work? , 2005, Nature Biotechnology.
[23] Dragomir R. Radev,et al. Identifying gene-disease associations using centrality on a literature mined gene-interaction network , 2008, ISMB.
[24] A. I.,et al. Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks , 2023, Biology.
[25] Jeyakumar Natarajan,et al. Text mining of full-text journal articles combined with gene expression analysis reveals a relationship between sphingosine-1-phosphate and invasiveness of a glioblastoma cell line , 2006, BMC Bioinformatics.
[26] Jennifer A. Siepen,et al. PepSeeker: mining information from proteomic data. , 2008, Methods in molecular biology.
[27] M. Lindsay. Target discovery , 2003, Nature Reviews Drug Discovery.
[28] M. Rivera,et al. Analysis of genomic and proteomic data using advanced literature mining. , 2003, Journal of proteome research.
[29] Dalia Cohen,et al. Genomic approaches to drug discovery. , 2006, Current opinion in chemical biology.
[30] Zemin Zhang,et al. Bioinformatics and cancer target discovery. , 2004, Drug discovery today.
[31] M. Sakharkar,et al. Targetability of human disease genes. , 2007, Current drug discovery technologies.
[32] R. Narayanan,et al. Bioinformatics approaches to cancer gene discovery. , 2007, Methods in molecular biology.
[33] David S. Wishart,et al. Nucleic Acids Research Polysearch: a Web-based Text Mining System for Extracting Relationships between Human Diseases, Genes, Mutations, Drugs Polysearch: a Web-based Text Mining System for Extracting Relationships between Human Diseases, Genes, Mutations, Drugs and Metabolites , 2008 .
[34] S. Hanash,et al. Mining the plasma proteome for cancer biomarkers , 2008, Nature.
[35] B. Loftus,et al. In silico mining identifies IGFBP3 as a novel target of methylation in prostate cancer , 2007, British Journal of Cancer.
[36] D. Mount,et al. Using bioinformatics and genome analysis for new therapeutic interventions , 2005, Molecular Cancer Therapeutics.
[37] Feng Chen,et al. Identifying targets for drug discovery using bioinformatics , 2008, Expert opinion on therapeutic targets.
[38] Shao Li,et al. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach , 2006, Bioinform..
[39] Jia-Ren Lin,et al. An application of bioinformatics and text mining to the discovery of novel genes related to bone biology. , 2007, Bone.
[40] Ivan C Gerling,et al. New Data Analysis and Mining Approaches Identify Unique Proteome and Transcriptome Markers of Susceptibility to Autoimmune Diabetes* , 2006, Molecular & Cellular Proteomics.
[41] John R. Gilbertson,et al. Microarray Data Mining Using Gene Ontology , 2004, MedInfo.
[42] P. Bork,et al. Literature mining for the biologist: from information retrieval to biological discovery , 2006, Nature Reviews Genetics.
[43] Jin Zhao,et al. GenCLiP: a software program for clustering gene lists by literature profiling and constructing gene co-occurrence networks related to custom keywords , 2008, BMC Bioinformatics.