Biclustering of High-throughput Gene Expression Data with Bicluster Miner
暂无分享,去创建一个
[1] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[2] Heng Li,et al. A survey of sequence alignment algorithms for next-generation sequencing , 2010, Briefings Bioinform..
[3] T. M. Murali,et al. Extracting Conserved Gene Expression Motifs from Gene Expression Data , 2002, Pacific Symposium on Biocomputing.
[4] Sven Bergmann,et al. Defining transcription modules using large-scale gene expression data , 2004, Bioinform..
[5] ThieleLothar,et al. A systematic comparison and evaluation of biclustering methods for gene expression data , 2006 .
[6] Gene Ontology Consortium. The Gene Ontology (GO) database and informatics resource , 2003 .
[7] Ulrich Bodenhofer,et al. FABIA: factor analysis for bicluster acquisition , 2010, Bioinform..
[8] Brad T. Sherman,et al. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.
[9] Vanessa M Kvam,et al. A comparison of statistical methods for detecting differentially expressed genes from RNA-seq data. , 2012, American journal of botany.
[10] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[11] J. Hartigan. Direct Clustering of a Data Matrix , 1972 .
[12] Debashis Ghosh,et al. Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data , 2010, Genes.
[13] Jesús S. Aguilar-Ruiz,et al. A biclustering algorithm for extracting bit-patterns from binary datasets , 2011, Bioinform..
[14] E. Lander,et al. MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia , 2002, Nature Genetics.
[15] G. Getz,et al. Coupled two-way clustering analysis of gene microarray data. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[16] S. Kaski,et al. Bayesian biclustering with the plaid model , 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.
[17] Panos M. Pardalos,et al. Biclustering in data mining , 2008, Comput. Oper. Res..
[18] Richard M. Karp,et al. Discovering local structure in gene expression data: the order-preserving submatrix problem. , 2003 .
[19] Ying Xu,et al. QUBIC: a qualitative biclustering algorithm for analyses of gene expression data , 2009, Nucleic acids research.
[20] Scott L. Zeger,et al. The Analysis of Gene Expression Data: Methods and Software , 2013 .
[21] Susumu Goto,et al. The KEGG resource for deciphering the genome , 2004, Nucleic Acids Res..
[22] Lothar Thiele,et al. A systematic comparison and evaluation of biclustering methods for gene expression data , 2006, Bioinform..
[23] George M. Church,et al. Biclustering of Expression Data , 2000, ISMB.
[24] Samuel Kaski,et al. The IEEE International Workshop on Machine Learning for Signal Processing XVIII , 2008 .
[25] Arlindo L. Oliveira,et al. Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[26] J. Rice. Mathematical Statistics and Data Analysis , 1988 .
[27] Sandrine Dudoit,et al. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments , 2010, BMC Bioinformatics.
[28] Martin Vingron,et al. DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach , 2011, Algorithms for Molecular Biology.
[29] Roded Sharan,et al. Discovering statistically significant biclusters in gene expression data , 2002, ISMB.
[30] J. Morgan,et al. Problems in the Analysis of Survey Data, and a Proposal , 1963 .
[31] Riitta Lahesmaa,et al. Tet1 and Tet2 regulate 5-hydroxymethylcytosine production and cell lineage specification in mouse embryonic stem cells. , 2011, Cell stem cell.
[32] Dennis B. Troup,et al. NCBI GEO: archive for functional genomics data sets—10 years on , 2010, Nucleic Acids Res..
[33] Lusheng Wang,et al. Computing the maximum similarity bi-clusters of gene expression data , 2007, Bioinform..