Alberto Paccanaro, Ph.D.

Affiliations: 
Computer Science Royal Holloway, University of London, Egham, England, United Kingdom 
Area:
computational biology, machine learning
Website:
http://www.paccanarolab.org
Google:
"Alberto Paccanaro"
Mean distance: 15 (cluster 17)
 
SNBCP

Parents

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Geoffrey E. Hinton grad student 1996-2002 University of Toronto
 (Learning distributed representations of relational data using linear relational embedding.)
Mark B. Gerstein post-doc 2003-2006 Yale (Computational Biology Tree)
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Publications

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Zhou N, Jiang Y, Bergquist TR, et al. (2019) The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. 20: 244
Manfredini F, Romero AE, Pedroso I, et al. (2017) Neurogenomic signatures of successes and failures in life-history transitions in a key insect pollinator. Genome Biology and Evolution
Meyer MJ, Lapcevic R, Romero AE, et al. (2016) Mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome. Human Mutation
Caniza H, Romero AE, Paccanaro A. (2015) A network medicine approach to quantify distance between hereditary disease modules on the interactome. Scientific Reports. 5: 17658
Smieszek SP, Yang H, Paccanaro A, et al. (2014) Progressive promoter element combinations classify conserved orthogonal plant circadian gene expression modules. Journal of the Royal Society, Interface / the Royal Society. 11
Valentini G, Paccanaro A, Caniza H, et al. (2014) An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. Artificial Intelligence in Medicine. 61: 63-78
Caniza H, Romero AE, Heron S, et al. (2014) GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology. Bioinformatics (Oxford, England). 30: 2235-6
Radivojac P, Clark WT, Oron TR, et al. (2013) A large-scale evaluation of computational protein function prediction. Nature Methods. 10: 221-7
Havugimana PC, Hart GT, Nepusz T, et al. (2012) A census of human soluble protein complexes. Cell. 150: 1068-81
Bhat P, Yang H, Bögre L, et al. (2012) Computational selection of transcriptomics experiments improves Guilt-by-Association analyses. Plos One. 7: e39681
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