DeepQA: improving the estimation of single protein model quality with deep belief networks

DeepQA: improving the estimation of single protein model quality with deep belief networks

Item
http://www.wikidata.org/entity/Q28817884
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.An overview of comparative modelling and resources dedicated to large-scale modelling of genome sequences.Sequence-based predictive modeling to identify cancerlectins.Predicting Presynaptic and Postsynaptic Neurotoxins by Developing Feature Selection Technique.Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning.Protein remote homology detection based on bidirectional long short-term memoryA Template-Based Protein Structure Reconstruction Method Using Deep Autoencoder Learning.MLACP: machine-learning-based prediction of anticancer peptides.A deep auto-encoder model for gene expression prediction.DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.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.iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
P2860

DeepQA: improving the estimation of single protein model quality with deep belief networks

Item
http://www.wikidata.org/entity/Q28817884
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
DeepQA: improving the estimati ...... lity with deep belief networks
@ast
DeepQA: improving the estimati ...... lity with deep belief networks
@en
type
label
DeepQA: improving the estimati ...... lity with deep belief networks
@ast
DeepQA: improving the estimati ...... lity with deep belief networks
@en
prefLabel
DeepQA: improving the estimati ...... lity with deep belief networks
@ast
DeepQA: improving the estimati ...... lity with deep belief networks
@en
P1433
P1476
P2093
P2860
P2888
P304
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DeepQA: improving the estimati ...... lity with deep belief networks
@en
P2093
P2860
P2888
P304
P31
P356
P407
P433
P478
P577
P6179
P698
P818
P921
P932