Predicting protein complexes from weighted protein–protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering-Reference-Cited by-同舟云学术

Predicting protein complexes from weighted protein–protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering

Published:2015-03 Issue:3 Volume:63 Page:181-189
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Theofilatos Konstantinos^ORCID,Pavlopoulou Niki,Papasavvas Christoforos,Likothanassis Spiros,Dimitrakopoulos Christos,Georgopoulos Efstratios,Moschopoulos Charalampos,Mavroudi Seferina

Funder

European Union

Greek national funds

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference39 articles.

1. The tandem affinity purification (TAP) Method: a general procedure of protein complex purification;Puig;Methods,2001

2. The post-genomic era ofinteractive proteomics: facts and perspectives;Auerbach;Proteomics,2002

3. Protein complexes take the bait;Kumar;Nature,2002

4. Printing proteins as microarrays for high throughput function determination;MacBeath;Science,2000

5. Computational approaches for the predictions of protein-protein interactions: a survey;Theofilatos;Curr Bioinform,2011

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