Prediction of developmental chemical toxicity based on gene networks of human embryonic stem cells

Predictive toxicology using stem cells or their derived tissues has gained increasing importance in biomedical and pharmaceutical research. Here, we show that toxicity category prediction by support vector machines (SVMs), which uses qRT-PCR data from 20 categorized chemicals based on a human embryo...

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Veröffentlicht in:Nucleic Acids Res
Hauptverfasser: Yamane, Junko, Aburatani, Sachiyo, Imanishi, Satoshi, Akanuma, Hiromi, Nagano, Reiko, Kato, Tsuyoshi, Sone, Hideko, Ohsako, Seiichiroh, Fujibuchi, Wataru
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2016
Schlagworte:
Computational Biology
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4937330/
https://ncbi.nlm.nih.gov/pubmed/27207879
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkw450
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