Logistic regression models to predict solvent accessible residues using sequence- and homology-based qualitative and quantitative descriptors applied to a domain-complete X-ray structure learning set.
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Logistic regression models to predict solvent accessible residues using sequence- and homology-based qualitative and quantitative descriptors applied to a domain-complete X-ray structure learning set.
description
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2015年の論文
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@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
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name
Logistic regression models to ...... X-ray structure learning set.
@en
type
label
Logistic regression models to ...... X-ray structure learning set.
@en
prefLabel
Logistic regression models to ...... X-ray structure learning set.
@en
P2093
P2860
P1476
Logistic regression models to ...... X-ray structure learning set.
@en
P2093
Amulya Nedunuri
Andrea Gottlieb
Brooke Lustig
Edwin Chung
Guneet Bhogal
Joanna Spencer
Katherine Kantardjieff
Reecha Nepal
Thejas Kamath
Thomas Poelman
P2860
P304
P356
10.1107/S1600576715018531
P577
2015-11-10T00:00:00Z