A mutation profile for top-<i>k</i> patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization - Concepedia

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A mutation profile for top-<i>k</i> patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization

DOI Full Paper Access

15

Citations

18

References

2015

Year

Sungchul Kim, Lee Sael, Hwanjo Yu

Abstract

Supplementary data are available at Bioinformatics online.

References

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The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored Damian Szklarczyk, Andrea Franceschini, Michael Kuhn, Nucleic Acids Research GeneticsMolecular BiologyBioinformatics DatabaseAccessory InformationInteracting Genes	2010	3.5K
Patterns of somatic mutation in human cancer genomes Christopher Greenman, Philip Stephens, Raffaella Smith, Nature Somatic MutationSomatic VariantGeneticsMedicineEpigenetics	2007	3.1K
The Database of Interacting Proteins: 2004 update Nucleic Acids Research EngineeringInteraction NetworkMolecular BiologyInteracting ProteinsData Science	2003	2.3K
Document clustering based on non-negative matrix factorization Wei Xu, Xin Liu, Yihong Gong Natural Language ProcessingDocument ClusteringNon-negative Matrix FactorizationEngineeringInformation Retrieval	2003	1.8K
Orthogonal nonnegative matrix t-factorizations for clustering Chris Ding, Tao Li, Wei Peng, Natural Language ProcessingDocument ClusteringEngineeringMatrix FactorizationData Science	2006	1.2K
Investigating semantic similarity measuresacross the Gene Ontology: the relationship betweensequence and annotation Phillip Lord, Robert Stevens, Andy Brass, Bioinformatics	2003	844

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