Towards mechanism classifiers: expression-anchored Gene Ontology signature predicts clinical outcome in lung adenocarcinoma patients.
about
Interpreting personal transcriptomes: personalized mechanism-scale profiling of RNA-seq data'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine.Systematic computation with functional gene-sets among leukemic and hematopoietic stem cells reveals a favorable prognostic signature for acute myeloid leukemiaAnalysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells.Towards a PBMC "virogram assay" for precision medicine: Concordance between ex vivo and in vivo viral infection transcriptomesAssociation of circulating transcriptomic profiles with mortality in sickle cell disease.
P2860
Towards mechanism classifiers: expression-anchored Gene Ontology signature predicts clinical outcome in lung adenocarcinoma patients.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Towards mechanism classifiers: ...... lung adenocarcinoma patients.
@en
type
label
Towards mechanism classifiers: ...... lung adenocarcinoma patients.
@en
prefLabel
Towards mechanism classifiers: ...... lung adenocarcinoma patients.
@en
P2093
P2860
P1476
Towards mechanism classifiers: ...... lung adenocarcinoma patients.
@en
P2093
Haiquan Li
Jianrong Li
Kelly Regan
Xinan Yang
Yong Huang
Yves A Lussier
P2860
P304
P577
2012-11-03T00:00:00Z