QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.
about
Sequence-based predictive modeling to identify cancerlectins.MLACP: machine-learning-based prediction of anticancer peptides.DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.PClass: Protein Quaternary Structure Classification by Using Bootstrapping Strategy as Model Selection.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.HBPred: a tool to identify growth hormone-binding proteins.iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.Identifying Phage Virion Proteins by Using Two-Step Feature Selection MethodsiGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
P2860
Q42254397-5B89111E-8328-449D-904A-1CBDFCAF7449Q45944202-39B0C8E4-5648-4A89-BB0A-995498E6C391Q49403730-B41FD77E-F505-4CEC-8FF3-3EA17697BC35Q50002018-18176F2D-4EA5-4DD2-8F8E-8D32473781A0Q52595216-B4DF96F8-99C2-469B-9BAA-803C55C6B548Q55008814-941CEE00-0E61-408D-AF1E-F136C6478CBBQ55365080-C3BD1624-52D0-4CF5-BC8C-BAB4E6B57C52Q55465046-9E6A3D48-A4E7-4A6B-B2B3-58E26C8323C8Q55513264-B82CA899-C3A3-4526-BCB9-8840F5B8C1B6Q55692275-D3AA1682-F1FF-4C89-99D3-6A9EF67F8C4BQ58697072-84F35899-7222-4E24-8BBA-8236446F26FDQ58697614-F82D6EF5-E587-4F54-B1E5-08DE3864CC3B
P2860
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.
description
2016 nî lūn-bûn
@nan
2016 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
QAcon: single model quality as ...... h machine learning techniques.
@ast
QAcon: single model quality as ...... h machine learning techniques.
@en
type
label
QAcon: single model quality as ...... h machine learning techniques.
@ast
QAcon: single model quality as ...... h machine learning techniques.
@en
prefLabel
QAcon: single model quality as ...... h machine learning techniques.
@ast
QAcon: single model quality as ...... h machine learning techniques.
@en
P2093
P2860
P356
P1433
P1476
QAcon: single model quality as ...... h machine learning techniques.
@en
P2093
Badri Adhikari
Debswapna Bhattacharya
Renzhi Cao
P2860
P304
P356
10.1093/BIOINFORMATICS/BTW694
P407
P577
2016-12-28T00:00:00Z