Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering.
about
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisInsights into the human mesenchymal stromal/stem cell identity through integrative transcriptomic profilingLinking amyotrophic lateral sclerosis and spinal muscular atrophy through RNA-transcriptome homeostasis: a genomics perspective.A Highly Sensitive and Robust Method for Genome-wide 5hmC Profiling of Rare Cell Populations.Activated signature of antiphospholipid syndrome neutrophils reveals potential therapeutic targetCD4+CD28+KIR+CD11ahi T cells correlate with disease activity and are characterized by a pro-inflammatory epigenetic and transcriptional profile in lupus patients.R Script Approach to Infer Toxoplasma Infection Mechanisms From Microarrays and Domain-Domain Protein Interactions.Comparative analysis of differential gene expression tools for RNA sequencing time course data.Using Human iPSC-Derived Neurons to Uncover Activity-Dependent Non-Coding RNAs.Monocyte-derived alveolar macrophages drive lung fibrosis and persist in the lung over the life span.Norepinephrine triggers an immediate-early regulatory network response in primary human white adipocytesElevated H3K79 homocysteinylation causes abnormal gene expression during neural development and subsequent neural tube defects
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P2860
Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Functional Gene Networks: R/Bi ...... nal enrichment and clustering.
@en
type
label
Functional Gene Networks: R/Bi ...... nal enrichment and clustering.
@en
prefLabel
Functional Gene Networks: R/Bi ...... nal enrichment and clustering.
@en
P2860
P50
P356
P1433
P1476
Functional Gene Networks: R/Bi ...... nal enrichment and clustering.
@en
P2093
Conrad Droste
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU864
P407
P577
2015-01-18T00:00:00Z