✦ LIBER ✦

Physicochemical Methods for Prediction of Functional Information for Proteins

✍ Scribed by Leonel F. Murga; Ying Wei; Pierrette André; James G. Clifton; Dagmar Ringe; Mary Jo Ondrechen

Book ID: 119922776
Publisher: Laser Pages Publishing Ltd.
Year: 2004
Tongue: English
Weight: 657 KB
Volume: 44
Category: Article
ISSN: 0021-2148
DOI: 10.1560/q3yd-pedl-jru8-8fvm

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of non-classical secreted pro

Prediction of non-classical secreted proteins using informative physicochemical properties

✍ Chiung-Hui Hung; Hui-Ling Huang; Kai-Ti Hsu; Shinn-Jang Ho; Shinn-Ying Ho 📂 Article 📅 2010 🏛 International Association of Scientists in the Int 🌐 English ⚖ 549 KB

Integration of relational and hierarchic

Integration of relational and hierarchical network information for protein function prediction

✍ Xiaoyu Jiang; Naoki Nariai; Martin Steffen; Simon Kasif; Eric D Kolaczyk 📂 Article 📅 2008 🏛 BioMed Central 🌐 English ⚖ 441 KB

Bayesian Methods for Predicting Interact

Bayesian Methods for Predicting Interacting Protein Pairs Using Domain Information

✍ Inyoung Kim; Yin Liu; Hongyu Zhao 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 194 KB

A Study of Statistical Methods for Funct

A Study of Statistical Methods for Function Prediction of Protein Motifs

✍ Dr Tao Tao, Cheng Xiang Zhai, Xinghua Lu, Hui Fang 📂 Article 📅 2004 🏛 Adis International Limited (now part of Wolters Kl 🌐 English ⚖ 171 KB

Pattern recognition methods for predicti

Pattern recognition methods for prediction of helical region in proteins

✍ D.A. Denisov; L.N. Drozdov-Tichomirov; D.N. Grigoryeva 📂 Article 📅 1973 🏛 Elsevier Science 🌐 English ⚖ 440 KB

Functional methods for time series predi

Functional methods for time series prediction: a nonparametric approach

✍ Germán Aneiros-Pérez; Ricardo Cao; Juan M. Vilar-Fernández 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 284 KB

## Abstract The problem of prediction in time series using nonparametric functional techniques is considered. An extension of the local linear method to regression with functional explanatory variable is proposed. This forecasting method is compared with the functional Nadaraya–Watson method and wi