Ensemble learning prediction of protein-protein interactions using proteins functional annotations.
about
Kernel methods for large-scale genomic data analysis.Quo vadis computational analysis of PPI data or why the future isn't here yet.A novel feature extraction scheme with ensemble coding for protein-protein interaction predictionA new ensemble coevolution system for detecting HIV-1 protein coevolution.Multi-level machine learning prediction of protein-protein interactions in Saccharomyces cerevisiae.An ensemble approach for large-scale identification of protein- protein interactions using the alignments of multiple sequences.An integrative C. elegans protein-protein interaction network with reliability assessment based on a probabilistic graphical model.Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.Predicting selective liver X receptor β agonists using multiple machine learning methods.Predicting protein-protein interactions between human and hepatitis C virus via an ensemble learning method.Identification of mitochondrial proteins of malaria parasite using analysis of variance.Prediction of Protein-Protein Interaction By Metasample-Based Sparse Representation
P2860
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P2860
Ensemble learning prediction of protein-protein interactions using proteins functional annotations.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Ensemble learning prediction o ...... oteins functional annotations.
@en
type
label
Ensemble learning prediction o ...... oteins functional annotations.
@en
prefLabel
Ensemble learning prediction o ...... oteins functional annotations.
@en
P2860
P50
P356
P1433
P1476
Ensemble learning prediction o ...... roteins functional annotations
@en
P2093
Johan Wikander
P2860
P304
P356
10.1039/C3MB70486F
P50
P577
2014-01-27T00:00:00Z