MLACP: machine-learning-based prediction of anticancer peptides.

MLACP: machine-learning-based prediction of anticancer peptides.

Item
http://www.wikidata.org/entity/Q45944202
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.PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine.Unraveling the bioactivity of anticancer peptides as deduced from machine learningPrediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid FeaturesIdentifying Phage Virion Proteins by Using Two-Step Feature Selection MethodsiGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised treeA Hybrid Deep Learning Model for Predicting Protein Hydroxylation Sites
P2860

MLACP: machine-learning-based prediction of anticancer peptides.

Item
http://www.wikidata.org/entity/Q45944202
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh-hant
name
MLACP: machine-learning-based prediction of anticancer peptides.
@en
MLACP: machine-learning-based prediction of anticancer peptides.
@nl
type
label
MLACP: machine-learning-based prediction of anticancer peptides.
@en
MLACP: machine-learning-based prediction of anticancer peptides.
@nl
prefLabel
MLACP: machine-learning-based prediction of anticancer peptides.
@en
MLACP: machine-learning-based prediction of anticancer peptides.
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P407
P433
P478
P50
P577
P698
P921
P932
P356
P1433
P1476
MLACP: machine-learning-based prediction of anticancer peptides.
@en
P2093
P2860
P304
P31
P356
P407
P433
P478
P50
P577
P698
P921
P932