Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides.
about
Comparative modeling of hypothetical amyloid pores based on cylindrin.On the amyloid datasets used for training PAFIG--how (not) to extend the experimental dataset of hexapeptides.FISH Amyloid - a new method for finding amyloidogenic segments in proteins based on site specific co-occurrence of aminoacids.Use of a Novel Grammatical Inference Approach in Classification of Amyloidogenic Hexapeptides.Amyloidogenic motifs revealed by n-gram analysis.
P2860
Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@ast
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@en
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@nl
type
label
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@ast
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@en
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@nl
prefLabel
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@ast
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@en
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@nl
P2093
P2860
P356
P1433
P1476
Machine learning methods can r ...... of amyloidogenic hexapeptides.
@en
P2093
Jerzy Stanislawski
Malgorzata Kotulska
Olgierd Unold
P2860
P2888
P356
10.1186/1471-2105-14-21
P577
2013-01-17T00:00:00Z