Learning to predict expression efficacy of vectors in recombinant protein production.
about
Prediction and analysis of protein solubility using a novel scoring card method with dipeptide compositionA review of machine learning methods to predict the solubility of overexpressed recombinant proteins in Escherichia coliCorrelation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli.
P2860
Learning to predict expression efficacy of vectors in recombinant protein production.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Learning to predict expression efficacy of vectors in recombinant protein production.
@ast
Learning to predict expression efficacy of vectors in recombinant protein production.
@en
Learning to predict expression efficacy of vectors in recombinant protein production.
@nl
type
label
Learning to predict expression efficacy of vectors in recombinant protein production.
@ast
Learning to predict expression efficacy of vectors in recombinant protein production.
@en
Learning to predict expression efficacy of vectors in recombinant protein production.
@nl
prefLabel
Learning to predict expression efficacy of vectors in recombinant protein production.
@ast
Learning to predict expression efficacy of vectors in recombinant protein production.
@en
Learning to predict expression efficacy of vectors in recombinant protein production.
@nl
P2093
P2860
P1433
P1476
Learning to predict expression efficacy of vectors in recombinant protein production.
@en
P2093
Chun-Nan Hsu
Ueng-Cheng Yang
Wen-Ching Chan
Wen-chang Lin
Yan-Ping Shih
P2860
P2888
P356
10.1186/1471-2105-11-S1-S21
P478
11 Suppl 1
P577
2010-01-18T00:00:00Z