Predicting human genetic interactions from cancer genome evolution
about
Oncogenomic portals for the visualization and analysis of genome-wide cancer dataPrediction of Genetic Interactions Using Machine Learning and Network PropertiesSynthetic lethality: emerging targets and opportunities in melanoma.Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs.Synthetic dosage lethality in the human metabolic network is highly predictive of tumor growth and cancer patient survival.Harnessing synthetic lethality to predict the response to cancer treatment.
P2860
Predicting human genetic interactions from cancer genome evolution
description
2015 nî lūn-bûn
@nan
2015 թուականին հրատարակուած գիտական յօդուած
@hyw
2015 թվականին հրատարակված գիտական հոդված
@hy
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
name
Predicting human genetic interactions from cancer genome evolution
@ast
Predicting human genetic interactions from cancer genome evolution
@en
Predicting human genetic interactions from cancer genome evolution
@nl
type
label
Predicting human genetic interactions from cancer genome evolution
@ast
Predicting human genetic interactions from cancer genome evolution
@en
Predicting human genetic interactions from cancer genome evolution
@nl
prefLabel
Predicting human genetic interactions from cancer genome evolution
@ast
Predicting human genetic interactions from cancer genome evolution
@en
Predicting human genetic interactions from cancer genome evolution
@nl
P2093
P2860
P1433
P1476
Predicting human genetic interactions from cancer genome evolution
@en
P2093
Richard A Notebaart
Wout Megchelenbrink
Xiaowen Lu
P2860
P304
P356
10.1371/JOURNAL.PONE.0125795
P407
P577
2015-01-01T00:00:00Z