Alberto Paccanaro

Professor in Machine Learning and Computational Biology

Director, Centre for Systems and Synthetic Biology
Department of Computer Science
Royal Holloway, University of London


I am a computer scientists working in AI.

I develop machine learning algorithms for solving problems in computational biology, medicine and systems pharmacology.

You have arrived to my personal webpage.
If you are looking for my lab webpage, you can find it here

                                    

 

 

University of Milan
1984-1992
Laurea, 1990

Catholic University
of Asuncion
1992-1996

University of Toronto
1996-2002
PhD, 2002

Gatsby Computational
Neuroscience Unit, UCL
1999-2002

Queen Mary
University of London
2002-2003

Yale University
2003-2006

Royal Holloway
University of London

 


Selected research projects:
      A map of the 3D structure of the genome on a global scale from Hi-C data (more…)

      Disease gene prediction for molecularly uncharacterized diseases (more…)

      A network medicine approach to quantify distance between hereditary disease modules on the interactome (more...)
      An overlapping clustering method for detecting protein complexes in protein-protein interaction networks (more...)
      Computational selection of transcriptomics experiments (more...)
      Automatic annotation of gene families (more...)
      Semantic similarity measures on the Gene Ontology (more...)
      Spectral methods for clustering protein sequences (more...)
      Techniques for integrating different protein-protein interaction experiments (more...)
      Methods for de-noising large scale protein-protein interaction experiments (more...)
      Protein-protein interaction prediction (more...)
      Prediction of gene essentiality from genomic features (more...)
      Prediction of protein function in E. Coli (more...)
      Quantifying environmental adaptation of metabolic pathways in metagenomics (more...)



List of Publications (it needs to be updated, but there are pdfs of some old papers…)


Selected publications
      The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data,  BMC Bioinformatics 2020, 21, 222.

      Network Modeling of Patients' Biomolecular Profiles for Clinical Phenotype/Outcome Prediction, Nature Scientific Reports, 2020, 10, 3612

      Disease gene prediction for molecularly uncharacterized diseases, PLOS Computational Biology, 2019, 15(7): e1007078

      A network medicine approach to quantify distance between hereditary disease modules on the interactome, Nature Scientific Reports, 2015, 5, 17658

      A census of human soluble protein complexes Cell, 2012 Aug 31;150(5):1068-81.

      Detecting overlapping protein complexes in protein-protein interaction networks  Nature Methods, 2012 Mar 18;9(5):471-2. doi: 10.1038/nmeth.1938.

      Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty  Bioinformatics, 2012, 28, 1383

      Quantifying environmental adaptation of metabolic pathways in metagenomics, Proc Natl Acad Sci U S A. 2009 Feb 3;106(5):1374-9
      Global landscape of protein complexes in the yeast Saccharomyces cerevisiae, Nature, 2006, Mar 30,440(7084):637-43
      Spectral Clustering of Proteins Sequences, Nucleic Acids Research 2006, Mar 17;34(5):1571-80
      Predicting Essential Genes in Fungal Genomes, Genome Research, 2006, 16 (9): 1126-35



Lab Funding

    Contact information

Prof. Alberto Paccanaro
Department of Computer Science
Royal Holloway, University of London
Egham, TW20 0EX
UK

Phone: +44 1784 414239
Fax: +44 1784 439786
Email:  alberto.paccanaro - at - rhul.ac.uk
(replace -at- with @ )


Labpage: www.paccanarolab.org