BMC Bioinformatics

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Probabilistic prediction and ranking of human protein-protein interactions

Michelle S Scott and Geoffrey J Barton*

BMC Bioinformatics 2007, 8:239 doi:10.1186/1471-2105-8-239

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BioMed Central: 5 citations

Proceedings   Open Access

Assessing and predicting protein interactions by combining manifold embedding with multiple information integration

Ying-Ke Lei, Zhu-Hong You, Zhen Ji, Lin Zhu, De-Shuang Huang BMC Bioinformatics 2012, 13(Suppl 7):S3 (8 May 2012)

Poster presentation   Open Access

Human protein-protein interaction prediction

Mark D McDowall, Michelle S Scott, Geoffrey J Barton BMC Bioinformatics 2010, 11(Suppl 10):P1 (7 December 2010)

Method   Open Access Highly Accessed

Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network

Bolan Linghu, Evan S Snitkin, Zhenjun Hu, Yu Xia, Charles DeLisi Genome Biology 2009, 10:R91 (3 September 2009)

An evidence-weighted functional-linkage network of human genes reveals associations among diseases that share no known disease genes and have dissimilar phenotypes

Research article   Open Access Highly Accessed

Predicting protein-protein interactions in Arabidopsis thaliana through integration of orthology, gene ontology and co-expression

Stefanie De Bodt, Sebastian Proost, Klaas Vandepoele, Pierre Rouzé, Yves Van de Peer BMC Genomics 2009, 10:288 (29 June 2009)

Research article   Open Access

Triangle network motifs predict complexes by complementing high-error interactomes with structural information

Bill Andreopoulos, Christof Winter, Dirk Labudde, Michael Schroeder BMC Bioinformatics 2009, 10:196 (27 June 2009)