Linking Molecular Imaging Terminology to the Gene Ontology (GO)
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Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks
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PyPop: A Software Framework for Population Genomics: Analyzing Large-Scale Multi-Locus Genotype DataDIGIT: A Novel Gene Finding Program by Combining Gene-Finders
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Methods for Analysis and Visualization of SNP Genotype Data for Complex Diseases
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Linking Biomedical Language Information and Knowledge Resources in the 21st Century: GO and UMLS
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Evaluation of the Vector Space Representation in Text-Based Gene Clustering
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Trajectory Clustering: A Non-Parametric Method for Grouping Gene Expression Time Courses with Applications to Mammary Development
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DIGIT: A Novel Gene Finding Program by Combining Gene-Finders