A statistical learning approach to the modeling of chromatographic retention of oligonucleotides incorporating sequence and secondary structure data.
about
Applications of mass spectrometry to the study of siRNA.LC-MS of oligonucleotides: applications in biomedical research.Different approaches to quantitative structure-retention relationships in the prediction of oligonucleotide retention.Retention of nucleic acids in ion-pair reversed-phase high-performance liquid chromatography depends not only on base composition but also on base sequence.
P2860
A statistical learning approach to the modeling of chromatographic retention of oligonucleotides incorporating sequence and secondary structure data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
A statistical learning approac ...... and secondary structure data.
@ast
A statistical learning approac ...... and secondary structure data.
@en
type
label
A statistical learning approac ...... and secondary structure data.
@ast
A statistical learning approac ...... and secondary structure data.
@en
prefLabel
A statistical learning approac ...... and secondary structure data.
@ast
A statistical learning approac ...... and secondary structure data.
@en
P2860
P356
P1476
A statistical learning approac ...... and secondary structure data.
@en
P2093
Marc Sturm
Sascha Quinten
P2860
P304
P356
10.1093/NAR/GKM338
P407
P577
2007-06-13T00:00:00Z