✦ LIBER ✦

SUPPORT VECTOR MACHINES FOR PREDICTION AND ANALYSIS OF BETA AND GAMMA-TURNS IN PROTEINS

✍ Scribed by PHAM, THO HOAN; SATOU, KENJI; HO, TU BAO

Book ID: 120357775
Publisher: World Scientific Publishing Company
Year: 2005
Tongue: English
Weight: 283 KB
Volume: 03
Category: Article
ISSN: 0219-7200
DOI: 10.1142/S0219720005001089

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of Beta-Turn in Protein Using

Prediction of Beta-Turn in Protein Using E-SSpred and Support Vector Machine

✍ Lirong Liu; Yaping Fang; Menglong Li; Cuicui Wang 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 286 KB

Predicting beta-turns in proteins using

Predicting beta-turns in proteins using support vector machines with fractional polynomials

✍ Murtada Khalafallah Elbashir,Jianxin Wang,Fang-Xiang Wu,Lusheng Wang 📂 Article 📅 2013 🏛 BioMed Central 🌐 English ⚖ 566 KB

Using support vector machine to predict

Using support vector machine to predict β- and γ-turns in proteins

✍ Xiuzhen Hu; Qianzhong Li 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 159 KB

## Abstract By using the composite vector with increment of diversity, position conservation scoring function, and predictive secondary structures to express the information of sequence, a support vector machine (SVM) algorithm for predicting β‐ and γ‐turns in the proteins is proposed. The 426 and

Support vector machines for the classifi

Support vector machines for the classification and prediction of β-turn types

✍ Dr Yu-Dong Cai; Xiao-Jun Liu; Xue-biao Xu; Kuo-Chen Chou 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 73 KB

## Abstract The support vector machines (SVMs) method is proposed because it can reflect the sequence‐coupling effect for a tetrapeptide in not only a β‐turn or non‐β‐turn, but also in different types of β‐turn. The results of the model for 6022 tetrapeptides indicate that the rates of self‐consist

Kernel principal component analysis and

Kernel principal component analysis and support vector machines for stock price prediction

✍ Ince, Huseyin; Trafalis, Theodore B. 📂 Article 📅 2007 🏛 Taylor and Francis Group 🌐 English ⚖ 379 KB

Support vector machines for prediction o

Support vector machines for prediction of protein signal sequences and their cleavage sites

✍ Yu-Dong Cai; Shuo-liang Lin; Kuo-Chen Chou 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 41 KB