Clustering Genes Using Heterogeneous Data Sources

No abstract is available for this paper.

• Publication year

  2010

• Venue

  International Journal of Knowledge Discovery in Bioinformatics

• Publication date

  2010-04-01

• Fields of study

  Biology, Computer Science

• Identifiers
  DOI 10.4018/jkdb.2010040102
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Methods, Models, and Computation for Medical Informatics

  2012cited by this paper
• Intelligent Classifiers Fusion for Enhancing Recognition of Genes and Protein Pattern of Hereditary Diseases

  2012cited by this paper
• Promoter Structures Conserved between Homo Sapiens, Mus Musculus and Drosophila Melanogaster

  2012cited by this paper
• Predicting Aging-Genes in Drosophila Melanogaster by Integrating Network Topological Features and Functional Categories

  2012cited by this paper
• Combinatorial Optimization Algorithms for Metabolic Networks Alignments and Their Applications

  2011cited by this paper
• Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances

  2011cited by this paper
• Biological Data Mining in Protein Interaction Networks

  2009cited by this paper
• Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration

  2009cited by this paper
• Information Extraction of Protein Phosphorylation from Biomedical Literature

  2009cited by this paper
• Clustering cancer gene expression data: a comparative study

  2008cited by this paper
• Techniques for clustering gene expression data

  2008cited by this paper
• Gene clustering and gene function prediction using multiple sources of data

  2006cited by this paper
• When Is Constrained Clustering Beneficial, and Why?

  2006cited by this paper
• Measuring Constraint-Set Utility for Partitional Clustering Algorithms

  2006cited by this paper
• Integrating constraints and metric learning in semi-supervised clustering

  2004influential reference
• Multi-view clustering

  2004cited by this paper
• BIOINFORMATICS ORIGINAL PAPER Clustering of diverse genomic data using information fusion

  2004cited by this paper
• Characterizing gene sets with FuncAssociate

  2003cited by this paper
• Clustering gene-expression data with repeated measurements

  2003cited by this paper
• Meta-clustering of gene expression data and literature-based information

  2003cited by this paper
• A Comparative Study of Generative Models for Document Clustering

  2003cited by this paper
• TRANSFAC®: transcriptional regulation, from patterns to profiles

  2003cited by this paper
• MeKE: Discovering the Functions of Gene Products from Biomedical Literature Via Sentence Alignment

  2003cited by this paper
• Genomics and natural language processing

  2002cited by this paper
• From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering

  2002cited by this paper
• Judging the quality of gene expression-based clustering methods using gene annotation.

  2002cited by this paper
• Semi-supervised Clustering by Seeding

  2002cited by this paper
• Evaluation of the Vector Space Representation in Text-Based Gene Clustering

  2002cited by this paper
• Distance Metric Learning with Application to Clustering with Side-Information

  2002cited by this paper
• Constrained K-means Clustering with Background Knowledge

  2001cited by this paper
• Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

  2001cited by this paper
• PubMed Central: The GenBank of the published literature.

  2001cited by this paper
• Detecting Gene Relations from MEDLINE Abstracts

  2000cited by this paper
• Multimodal Integration - A Statistical View

  1999cited by this paper
• Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation

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

  1998cited by this paper
• Mutual information maximization: models of cortical self-organization.

  1996cited by this paper
• The two positively acting regulatory proteins PHO2 and PHO4 physically interact with PHO5 upstream activation regions

  1989cited by this paper
• Algorithms for Clustering Data

  1988cited by this paper
• A critical analysis of vector space model for information retrieval

  1986cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper
• International Journal of Knowledge Discovery in Bioinformatics

  year unknowncited by this paper

• Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views

  2023cites this paper
• Statistical analysis of a hierarchical clustering algorithm with outliers

  2022cites this paper
• Tensor dimensionality reduction via mode product and HSIC

  2021cites this paper
• Multi-objective multi-view based search result clustering using differential evolution framework

  2020cites this paper
• Exploring Multiobjective Optimization for Multiview Clustering

  2018cites this paper
• A brief survey of machine learning methods and their sensor and IoT applications

  2017cites this paper
• Tensor Analysis and Fusion of Multimodal Brain Images This paper presents a general framework for tensor analysis of single-modality model inversion and multimodal data fusion using neuroimaging data as an example.

  2015cites this paper
• Tensor Analysis and Fusion of Multimodal Brain Images

  2015cites this paper
• HerbDisc: Towards lifelong robotic object discovery

  2015cites this paper
• Biological and Medical Big Data Mining

  2014cites this paper
• Cross-platform microarray data integration combining meta-analysis and gene set enrichment analysis

  2013cites this paper
• Transfer learning for visual recognition and text categorization

  2012cites this paper
• Classification non supervisée : de la multiplicité des données à la multiplicité des analyses. (Clustering : from multiple data to multiple analysis)

  2012cites this paper
• Human Biobanks: Selected Examples from and beyond Europe

  2011cites this paper
• Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling

  2010cites this paper
• Analyzing the Text of Clinical Literature for Question Answering

  2009cites this paper