Toward more realistic drug–target interaction predictions

A number of supervised machine learning models have recently been introduced for the prediction of drug–target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning...

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Bibliografiske detaljer
Udgivet i:Brief Bioinform
Main Authors: Pahikkala, Tapio, Airola, Antti, Pietilä, Sami, Shakyawar, Sushil, Szwajda, Agnieszka, Tang, Jing, Aittokallio, Tero
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2015
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Papers
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4364066/
https://ncbi.nlm.nih.gov/pubmed/24723570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbu010
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