Search Result "Random Forest Classification"


Exploratory Predicting Protein Folding Model with Random Forest and Hybrid Features

Journal: Current Proteomics
Volume: 11 Issue: 4 Year: 2014 Page: 289-299
Author(s): Xuewei Zhao,Quan Zou,Bin Liu,Xiangrong Liu

Predicting Enzyme Subclasses by Using Random Forest with Multicharacteristic Parameters

Journal: Protein & Peptide Letters
Volume: 21 Issue: 3 Year: 2014 Page: 275-284
Author(s): Ying Wang,Xiuzhen Hu,Lixia Sun,Zhenxing Feng,Hangyu Song

Analysis of Proteasome Inhibition Prediction Using Atom-Based Quadratic Indices Enhanced by Machine Learning Classification Techniques

Journal: Letters in Drug Design & Discovery
Volume: 11 Issue: 6 Year: 2014 Page: 705-711
Author(s): Gerardo M. Casanola-Martin,Huong Le-Thi-Thu,Yovani Marrero-Ponce,Juan A Castillo- Garit,Francisco Torrens,Facundo Perez-Gimenez,Concepcion Abad

Diverse Models for the Prediction of Dual mTOR and PI3Kα Inhibitory Activities of Substituted 4-morpholinopyrrolopyrimidines

Journal: Letters in Drug Design & Discovery
Volume: 11 Issue: 4 Year: 2014 Page: 454-473
Author(s): Monika Gupta,A. K. Madan

ANN and Bayesian Classification Models for Virtual Screening of Endocrine-Disrupting Chemicals

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 17 Issue: 5 Year: 2014 Page: 407-416
Author(s): Piotr Nowicki,Jolanta Klos,Zenon Kokot

A Combined Cheminformatics and Computational Approach for the Prediction of Anti-HIV Small Molecules

Journal: Current Computer-Aided Drug Design
Volume: 10 Issue: 4 Year: 2014 Page: 349-353
Author(s): Naghmeh Poorinmohammad,Hassan Mohabatkar

Detour Cum Distance Matrix Based Topological Descriptors for QSAR/QSPR Part-II: Application in Drug Discovery Process

Journal: Letters in Drug Design & Discovery
Volume: 11 Issue: 7 Year: 2014 Page: 864-876
Author(s): Monika Gupta, Anil K. Madan

Computational Approaches for Enzyme Functional Class Prediction: A Review

Journal: Current Proteomics
Volume: 11 Issue: 1 Year: 2014 Page: 17-22
Author(s): Mahesh Sharma, Prabha Garg

1H NMR-Linked Urinary Metabolic Profiling of Niemann-Pick Class C1 (NPC1) Disease: Identification of Potential New Biomarkers using Correlated Component Regression (CCR) and Genetic Algorithm (GA) Analysis Strategies

Journal: Current Metabolomics
Volume: 2 Issue: 2 Year: 2014 Page: 88-121
Author(s): Victor Ruiz-Rodado,Rafael Marcos Luque-Baena,Danielle te Vruchte,Fay Probert,Robin H. Lachmann,Christopher J. Hendriksz,James E. Wraith,Jackie Imrie,David Elizondo,Daniel Sillence,Peter Clayton,Frances M. Platt,Martin Grootveld

Identification of Marker Genes for Cancer Based on Microarrays Using a Computational Biology Approach

Journal: Current Bioinformatics
Volume: 9 Issue: 2 Year: 2014 Page: 140-146
Author(s): Xiaosheng Wang

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