✦ LIBER ✦

Identification of DNA-binding proteins using support vector machines and evolutionary profiles

✍ Scribed by Manish Kumar; Michael M Gromiha; Gajendra PS Raghava

Book ID: 115001018
Publisher: BioMed Central
Year: 2007
Tongue: English
Weight: 471 KB
Volume: 8
Category: Article
ISSN: 1471-2105
DOI: 10.1186/1471-2105-8-463

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Support vector machines for predicting r

Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence

✍ Yu-dong Cai; Shuo Liang Lin 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 135 KB

Prediction of protein-protein binding si

Prediction of protein-protein binding site by using core interface residue and support vector machine

✍ Nan Li; Zhonghua Sun; Fan Jiang 📂 Article 📅 2008 🏛 BioMed Central 🌐 English ⚖ 498 KB

Identification of functionally diverse l

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine

✍ Ganesan Pugalenthi; Krishna Kumar Kandaswamy; P. N. Suganthan; G. Archunan; R. S 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 245 KB

Prediction of flavin mono-nucleotide bin

Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine

✍ Xia Wang; Gang Mi; Cuicui Wang; Yongqing Zhang; Juan Li; Yanzhi Guo; Xuemei Pu; 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 672 KB

Evolutionary algorithm based optimizatio

Evolutionary algorithm based optimization for power quality disturbances classification using support vector machines

✍ Mihir Narayan Mohanty; Anurag Kumar; Aurobinda Routray; Prithviraj Kabisatpathy 📂 Article 📅 2010 🏛 Institute of Control, Robotics and Systems and The 🌐 English ⚖ 661 KB

Support Vector Machine-based method for

Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs

✍ Mamoon Rashid; Sudipto Saha; Gajendra PS Raghava 📂 Article 📅 2007 🏛 BioMed Central 🌐 English ⚖ 589 KB