Identification of host-microbe interaction factors in the genomes of soft rot-associated pathogens Dickeya dadantii 3937 and Pectobacterium carotovorum WPP14 with supervised machine learning.
about
Characterization of Pectobacterium carotovorum proteins differentially expressed during infection of Zantedeschia elliotiana in vivo and in vitro which are essential for virulence.Prediction of bacterial associations with plants using a supervised machine-learning approach.Role of Dickeya dadantii 3937 chemoreceptors in the entry to Arabidopsis leaves through wounds.
P2860
Identification of host-microbe interaction factors in the genomes of soft rot-associated pathogens Dickeya dadantii 3937 and Pectobacterium carotovorum WPP14 with supervised machine learning.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին 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
Identification of host-microbe ...... h supervised machine learning.
@ast
Identification of host-microbe ...... h supervised machine learning.
@en
type
label
Identification of host-microbe ...... h supervised machine learning.
@ast
Identification of host-microbe ...... h supervised machine learning.
@en
prefLabel
Identification of host-microbe ...... h supervised machine learning.
@ast
Identification of host-microbe ...... h supervised machine learning.
@en
P2860
P356
P1433
P1476
Identification of host-microbe ...... th supervised machine learning
@en
P2093
Jeremy D Glasner
Nicole T Perna
P2860
P356
10.1186/1471-2164-15-508
P407
P577
2014-06-21T00:00:00Z