CRNET: An efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.
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CRNET: An efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.
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2017 nî lūn-bûn
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name
CRNET: An efficient sampling a ...... and time-course RNA-seq data.
@en
CRNET: An efficient sampling a ...... and time-course RNA-seq data.
@nl
type
label
CRNET: An efficient sampling a ...... and time-course RNA-seq data.
@en
CRNET: An efficient sampling a ...... and time-course RNA-seq data.
@nl
prefLabel
CRNET: An efficient sampling a ...... and time-course RNA-seq data.
@en
CRNET: An efficient sampling a ...... and time-course RNA-seq data.
@nl
P2093
P2860
P356
P1433
P1476
CRNET: an efficient sampling a ...... q and time-course RNA-seq data
@en
P2093
Jianhua Xuan
Jin-Gyoung Jung
Jinghua Gu
Leena Hilakivi-Clarke
Tian-Li Wang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTX827
P407
P577
2018-05-01T00:00:00Z