✦ LIBER ✦

Prediction of regulatory pathways using mRNA expression and protein interaction data: Application to identification of galactose regulatory pathway

✍ Scribed by A. Darvish; K. Najarian

Book ID: 108072525
Publisher: Elsevier Science
Year: 2006
Tongue: English
Weight: 318 KB
Volume: 83
Category: Article
ISSN: 0303-2647
DOI: 10.1016/j.biosystems.2005.06.013

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of regulatory interactions in

Prediction of regulatory interactions in Arabidopsis using gene-expression data and support vector machines

✍ Xiaoqing Yu; Taigang Liu; Xiaoqi Zheng; Zhongnan Yang; Jun Wang 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 153 KB

Identification of regulatory relationships between transcription factors (TFs) and their targets is a central problem in post-genomic biology. In this paper, we apply an approach based on the support vector machine (SVM) and gene-expression data to predict the regulatory interactions in Arabidopsis.

Aberrant expression of p27Kip1-interacti

Aberrant expression of p27Kip1-interacting cell-cycle regulatory proteins in ovarian clear cell carcinomas and their precursors with special consideration of two distinct multistage clear cell carcinogenetic pathways

✍ Sohei Yamamoto; Hitoshi Tsuda; Kosuke Miyai; Masashi Takano; Seiichi Tamai; Osam 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 532 KB