Modeling DNA affinity landscape through two-round support vector regression with weighted degree kernels.
about
Finding optimal interaction interface alignments between biological complexes.Quantitative Analysis of Protein-DNA Interaction by qDPI-ELISA.Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape.DEEPre: sequence-based enzyme EC number prediction by deep learning.Beyond initiation-limited translational bursting: the effects of burst size distributions on the stability of gene expression.DNA Motif Recognition Modeling from Protein Sequences
P2860
Modeling DNA affinity landscape through two-round support vector regression with weighted degree kernels.
description
2014 nî lūn-bûn
@nan
2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
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
name
Modeling DNA affinity landscap ...... with weighted degree kernels.
@ast
Modeling DNA affinity landscap ...... with weighted degree kernels.
@en
type
label
Modeling DNA affinity landscap ...... with weighted degree kernels.
@ast
Modeling DNA affinity landscap ...... with weighted degree kernels.
@en
prefLabel
Modeling DNA affinity landscap ...... with weighted degree kernels.
@ast
Modeling DNA affinity landscap ...... with weighted degree kernels.
@en
P2860
P1433
P1476
Modeling DNA affinity landscap ...... with weighted degree kernels.
@en
P2093
Hiroyuki Kuwahara
Xiaolei Wang
P2860
P2888
P356
10.1186/1752-0509-8-S5-S5
P478
P50
P577
2014-12-12T00:00:00Z
P5875
P6179
1049528759