Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Oded Magger"'
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 9, p e1002690 (2012)
The prioritization of candidate disease-causing genes is a fundamental challenge in the post-genomic era. Current state of the art methods exploit a protein-protein interaction (PPI) network for this task. They are based on the observation that genes
Externí odkaz:
https://doaj.org/article/7834363c24674d03b2bf062a57563271
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 1, p e1000641 (2010)
A fundamental challenge in human health is the identification of disease-causing genes. Recently, several studies have tackled this challenge via a network-based approach, motivated by the observation that genes causing the same or similar diseases t
Externí odkaz:
https://doaj.org/article/1fb9af71822d4806a1326926929094e7
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 8, Iss 9, p e1002690 (2012)
PLoS Computational Biology, Vol 8, Iss 9, p e1002690 (2012)
The prioritization of candidate disease-causing genes is a fundamental challenge in the post-genomic era. Current state of the art methods exploit a protein-protein interaction (PPI) network for this task. They are based on the observation that genes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186aabd0647e944cbc2d1e6338c49aad
https://pubmed.ncbi.nlm.nih.gov/23028288
https://pubmed.ncbi.nlm.nih.gov/23028288
Publikováno v:
Bioinformatics. 27:3325-3326
Summary: PRINCIPLE is a Java application implemented as a Cytoscape plug-in, based on a previously published algorithm, PRINCE. Given a query disease, it prioritizes disease-related genes based on their closeness in a protein–protein interaction ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d3929d7720802f5f89ca7a90ff0900
https://doi.org/10.1093/bioinformatics/btr584
https://doi.org/10.1093/bioinformatics/btr584
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 1, p e1000641 (2010)
PLoS Computational Biology
PLoS Computational Biology
A fundamental challenge in human health is the identification of disease-causing genes. Recently, several studies have tackled this challenge via a network-based approach, motivated by the observation that genes causing the same or similar diseases t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aa063bd00761ce2576740b5322ef3f2
https://doi.org/10.1371/journal.pcbi.1000641
https://doi.org/10.1371/journal.pcbi.1000641
Publikováno v:
BMC Bioinformatics. 2011 Supplement 10, Vol. 12 Issue Suppl 10, p389-403. 15p. 2 Diagrams, 6 Charts, 6 Graphs.
Publikováno v:
Studies in Health Technology & Informatics; 2019, Vol. 258, p189-193, 5p, 1 Diagram
Publikováno v:
2016 IEEE Congress on Evolutionary Computation (CEC); 2016, p24-31, 8p
Publikováno v:
2015 38th International Conference on Telecommunications & Signal Processing (TSP); 2015, p1-8, 8p
Publikováno v:
2014 IEEE International Conference on Bioinformatics & Bioengineering; 2014, p191-197, 7p