LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering.
about
Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response.The integration of weighted gene association networks based on information entropy.Mapping gene regulatory networks from single-cell omics data.The Human Cell Atlas: Technical approaches and challenges.DrImpute: imputing dropout events in single cell RNA sequencing data.Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data.
P2860
LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
LEAP: constructing gene co-exp ...... ata using pseudotime ordering.
@ast
LEAP: constructing gene co-exp ...... ata using pseudotime ordering.
@en
type
label
LEAP: constructing gene co-exp ...... ata using pseudotime ordering.
@ast
LEAP: constructing gene co-exp ...... ata using pseudotime ordering.
@en
prefLabel
LEAP: constructing gene co-exp ...... ata using pseudotime ordering.
@ast
LEAP: constructing gene co-exp ...... ata using pseudotime ordering.
@en
P2860
P356
P1433
P1476
LEAP: constructing gene co-exp ...... data using pseudotime ordering
@en
P2093
Alicia T Specht
P2860
P304
P356
10.1093/BIOINFORMATICS/BTW729
P407
P50
P577
2017-03-01T00:00:00Z