ロード中...

Identification of metabolic network models from incomplete high-throughput datasets

Motivation: High-throughput measurement techniques for metabolism and gene expression provide a wealth of information for the identification of metabolic network models. Yet, missing observations scattered over the dataset restrict the number of effectively available datapoints and make classical re...

詳細記述

保存先:
書誌詳細
主要な著者: Berthoumieux, Sara, Brilli, Matteo, de Jong, Hidde, Kahn, Daniel, Cinquemani, Eugenio
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3117355/
https://ncbi.nlm.nih.gov/pubmed/21685069
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr225
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!