Quantitative assessment and validation of network inference methods in bioinformatics.
about
Untangling statistical and biological models to understand network inference: the need for a genomics network ontology.Sequential construction of a model for modular gene expression control, applied to spatial patterning of the Drosophila gene hunchback.Creating, generating and comparing random network models with NetworkRandomizer.
P2860
Quantitative assessment and validation of network inference methods in bioinformatics.
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
Quantitative assessment and validation of network inference methods in bioinformatics.
@en
Quantitative assessment and validation of network inference methods in bioinformatics.
@nl
type
label
Quantitative assessment and validation of network inference methods in bioinformatics.
@en
Quantitative assessment and validation of network inference methods in bioinformatics.
@nl
prefLabel
Quantitative assessment and validation of network inference methods in bioinformatics.
@en
Quantitative assessment and validation of network inference methods in bioinformatics.
@nl
P2860
P356
P1476
Quantitative assessment and validation of network inference methods in bioinformatics.
@en
P2860
P356
10.3389/FGENE.2014.00221
P577
2014-07-16T00:00:00Z