iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
about
Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.Benchmark data for identifying multi-functional types of membrane proteins.Structural classification of proteins using texture descriptors extracted from the cellular automata image.
P2860
iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
description
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name
iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
@en
type
label
iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
@en
prefLabel
iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
@en
P2093
P2860
P1476
iMem-Seq: A Multi-label Learning Classifier for Predicting Membrane Proteins Types.
@en
P2093
Hong-Liang Zou
Wei-Zhong Lin
P2860
P2888
P304
P356
10.1007/S00232-015-9787-8
P577
2015-03-22T00:00:00Z