Biclustering of Linear Patterns In Gene Expression Data

No abstract is available for this paper.

• Publication year

  2012

• Venue

  J. Comput. Biol.

• Publication date

  2012-06-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1089/cmb.2012.0032PMID 22697238PMCID PMC3375643
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Biclustering of Gene Expression Data by Correlation-Based Scatter Search

  2011influential reference
• Identification of functional elements and regulatory circuits by Drosophila modENCODE

  2011cited by this paper
• Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE

  2010cited by this paper
• Integrative Analysis of the Caenorhabditis elegans Genome by the modENCODE Project

  2010cited by this paper
• FABIA: factor analysis for bicluster acquisition

  2010influential reference
• QUBIC: a qualitative biclustering algorithm for analyses of gene expression data

  2009influential reference
• Bi-correlation clustering algorithm for determining a set of co-regulated genes

  2009influential reference
• Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

  2009cited by this paper
• Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

  2008cited by this paper
• Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

  2008cited by this paper
• Discovering biclusters in gene expression data based on high-dimensional linear geometries

  2008cited by this paper
• A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data.

  2008cited by this paper
• A systematic comparison and evaluation of biclustering methods for gene expression data

  2006cited by this paper
• TreeFam: a curated database of phylogenetic trees of animal gene families

  2005cited by this paper
• Biclustering gene expression data based on a high dimensional geometric method

  2005cited by this paper
• Shifting and scaling patterns from gene expression data

  2005cited by this paper
• Defining transcription modules using large-scale gene expression data

  2004cited by this paper
• Enhanced biclustering on expression data

  2003cited by this paper
• OP-cluster: clustering by tendency in high dimensional space

  2003cited by this paper
• Biclustering microarray data by Gibbs sampling

  2003cited by this paper
• Spectral biclustering of microarray data: coclustering genes and conditions.

  2003cited by this paper
• An Eulerian Path Approach to Global Multiple Alignment for DNA Sequences

  2003cited by this paper
• Revealing modular organization in the yeast transcriptional network

  2002cited by this paper
• The art and design of genetic screens: Caenorhabditis elegans

  2002cited by this paper
• Discovering Local Structure in Gene Expression Data: The Order-Preserving Submatrix Problem

  2002cited by this paper
• Clustering by pattern similarity in large data sets

  2002cited by this paper
• Discovering statistically significant biclusters in gene expression data

  2002cited by this paper
• The art and design of genetic screens: Drosophila melanogaster

  2002cited by this paper
• Extracting Conserved Gene Expression Motifs from Gene Expression Data

  2002cited by this paper
• Decomposing Gene Expression into Cellular Processes

  2002cited by this paper
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

  2002cited by this paper
• Interrelated two-way clustering: an unsupervised approach for gene expression data analysis

  2001influential reference
• Analysis of Gene Expression Microarrays for Phenotype Classification

  2000cited by this paper
• Plaid models for gene expression data

  2000cited by this paper
• Biclustering of Expression Data

  2000cited by this paper
• Coupled two-way clustering analysis of gene microarray data.

  2000cited by this paper
• Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation.

  1999cited by this paper
• Systematic determination of genetic network architecture

  1999cited by this paper
• The C. elegans spe-9 gene encodes a sperm transmembrane protein that contains EGF-like repeats and is required for fertilization.

  1998cited by this paper
• Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

  1998cited by this paper
• Model-based Gaussian and non-Gaussian clustering

  1993cited by this paper
• Mixture models : inference and applications to clustering

  1989cited by this paper
• Fast Hough transform: A hierarchical approach

  1986cited by this paper
• Clustering Algorithms

  1975cited by this paper
• Direct Clustering of a Data Matrix

  1972cited by this paper
• Hierarchical clustering schemes

  1967cited by this paper
• Ieee/acm Transactions on Computational Biology and Bioinformatics 1 Biclustering Algorithms for Biological Data Analysis: a Survey

  year unknowninfluential reference
• BIOINFORMATICS ORIGINAL PAPER

  year unknowncited by this paper

• Revisiting regulatory coherence: accounting for temporal bias in plant gene co-expression analyses.

  2023cites this paper
• Pan-Cancer Analysis Reveals the Prognostic Potential of the THAP9/THAP9-AS1 Sense–Antisense Gene Pair in Human Cancers

  2022cites this paper
• Epigenetic regulation of fetal brain development in pig.

  2022cites this paper
• Pan-cancer analysis reveals the prognostic potential of THAP9/THAP9-AS1 Sense-Antisense gene pair in human cancer

  2022cites this paper
• Algorithm optimization for weighted gene co-expression network analysis: accelerating the calculation of Topology Overlap Matrices with OpenMP and SQLite

  2021cites this paper
• Brain transcriptome analyses of paternal-specific mutant GRB10KO and potential insights into dominance behaviour

  2018cites this paper
• Biclustering by sparse canonical correlation analysis

  2018influential citation
• Generalized correlation measure using count statistics for gene expression data with ordered samples

  2018cites this paper
• Gene co-expression analysis for functional classification and gene–disease predictions

  2017cites this paper
• Identifying local co-regulation relationships in gene expression data.

  2014cites this paper
• An Indexed Bibliography of Genetic Algorithms in Medicine

  2014influential citation