Maximization of negative correlations in time-course gene expression data for enhancing understanding of molecular pathways
暂无分享,去创建一个
[1] Jesús S. Aguilar-Ruiz,et al. Shifting and scaling patterns from gene expression data , 2005, Bioinform..
[2] C. Missero,et al. Multiple Ras Downstream Pathways Mediate Functional Repression of the Homeobox Gene Product TTF-1 , 2000, Molecular and Cellular Biology.
[3] Lothar Thiele,et al. A systematic comparison and evaluation of biclustering methods for gene expression data , 2006, Bioinform..
[4] Arlindo L. Oliveira,et al. Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm , 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[5] J. Bouchara,et al. A Nonsense Mutation in the ERG6 Gene Leads to Reduced Susceptibility to Polyenes in a Clinical Isolate of Candida glabrata , 2008, Antimicrobial Agents and Chemotherapy.
[6] M. Esteller. Cancer epigenomics: DNA methylomes and histone-modification maps , 2007, Nature Reviews Genetics.
[7] Ronald W. Davis,et al. A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.
[8] Ulf Stahl,et al. Combined overexpression of genes of the ergosterol biosynthetic pathway leads to accumulation of sterols in Saccharomyces cerevisiae. , 2003, FEMS yeast research.
[9] Kian-Lee Tan,et al. Identifying time-lagged gene clusters using gene expression data , 2005, Bioinform..
[10] Wen-Hsiung Li,et al. Systematic identification of yeast cell cycle transcription factors using multiple data sources , 2008, BMC Bioinformatics.
[11] Grace S. Shieh,et al. Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling , 2008, BMC Bioinformatics.
[12] Michael Grunstein,et al. Genome-wide patterns of histone modifications in yeast , 2006, Nature Reviews Molecular Cell Biology.
[13] ThieleLothar,et al. A systematic comparison and evaluation of biclustering methods for gene expression data , 2006 .
[14] Chang-Tsun Li,et al. Partial mixture model for tight clustering of gene expression time-course , 2007, BMC Bioinformatics.
[15] Frank Beier,et al. Microarray analyses of gene expression during chondrocyte differentiation identifies novel regulators of hypertrophy. , 2005, Molecular biology of the cell.
[16] Qiwei Yang,et al. Modulation of renal-specific oxidoreductase/myo-inositol oxygenase by high-glucose ambience. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[17] David Botstein,et al. SGD: Saccharomyces Genome Database , 1998, Nucleic Acids Res..
[18] Andreas Zell,et al. EDISA: extracting biclusters from multiple time-series of gene expression profiles , 2007, BMC Bioinformatics.
[19] David Botstein,et al. Transcriptional response of steady-state yeast cultures to transient perturbations in carbon source. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[20] Arlindo L. Oliveira,et al. A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series , 2009, Algorithms for Molecular Biology.
[21] Alan Wee-Chung Liew,et al. Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization , 2008, BMC Bioinformatics.
[22] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[23] Eytan Ruppin,et al. Nucleotide variation of regulatory motifs may lead to distinct expression patterns , 2007, ISMB/ECCB.
[24] P. Bourgine,et al. Topological and causal structure of the yeast transcriptional regulatory network , 2002, Nature Genetics.
[25] Haseong Kim,et al. Clustering of change patterns using Fourier coefficients , 2008, Bioinform..
[26] R. Yeh,et al. Differentially expressed genes are marked by histone 3 lysine 9 trimethylation in human cancer cells , 2008, Oncogene.
[27] Gilles Caraux,et al. PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order , 2005, Bioinform..
[28] Joana P Gonçalves,et al. BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data , 2009, BMC Research Notes.
[29] Alvis Brazma,et al. Current approaches to gene regulatory network modelling , 2007, BMC Bioinformatics.
[30] Alexandre P. Francisco,et al. YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae , 2007, Nucleic Acids Res..
[31] Wim Van Criekinge,et al. Defining a chromatin pattern that characterizes DNA-hypermethylated genes in colon cancer cells. , 2008, Cancer research.
[32] M. Orešič,et al. Pathways to the analysis of microarray data. , 2005, Trends in biotechnology.
[33] Grace S. Shieh,et al. A pattern recognition approach to infer time-lagged genetic interactions , 2008, Bioinform..
[34] Stefan R. Henz,et al. A gene expression map of Arabidopsis thaliana development , 2005, Nature Genetics.
[35] D. Pe’er,et al. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data , 2003, Nature Genetics.
[36] Jinyan Li,et al. Maximal Biclique Subgraphs and Closed Pattern Pairs of the Adjacency Matrix: A One-to-One Correspondence and Mining Algorithms , 2007, IEEE Transactions on Knowledge and Data Engineering.
[37] Arlindo L. Oliveira,et al. Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[38] Haidong Wang,et al. Discovering molecular pathways from protein interaction and gene expression data , 2003, ISMB.
[39] Dov J. Stekel,et al. Strong negative self regulation of Prokaryotic transcription factors increases the intrinsic noise of protein expression , 2008, BMC Systems Biology.
[40] S. Rafii,et al. Splitting vessels: Keeping lymph apart from blood , 2003, Nature Medicine.