Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.
about
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data.Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression.Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach.MEK inhibitors under development for treatment of non-small-cell lung cancer.Kernelized rank learning for personalized drug recommendation.Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.Learning with multiple pairwise kernels for drug bioactivity prediction.
P2860
Q36309864-0721B1BB-8AC9-4BAC-BA5C-EFFC429834BBQ42697214-77AE3CC0-07F4-47EF-A150-0FE67D6128D7Q47304377-2E6DA4B3-5A51-4747-8CB1-74AF2BFFFBDEQ47318847-87186E45-0123-439D-AF97-8250A519E7EBQ50419862-39339F3C-0B3C-4043-87F6-466F4DFD1EE6Q55429209-1464F169-41F0-4437-B014-373B65EAB2FEQ55514107-F32FD708-4C5B-44A8-A9A8-E0C0A627D62F
P2860
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.
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
Drug response prediction by in ...... Bayesian matrix factorization.
@en
type
label
Drug response prediction by in ...... Bayesian matrix factorization.
@en
prefLabel
Drug response prediction by in ...... Bayesian matrix factorization.
@en
P2093
P2860
P50
P356
P1433
P1476
Drug response prediction by in ...... Bayesian matrix factorization.
@en
P2093
Astrid Murumägi
Muhammad Ammad-Ud-Din
Suleiman A Khan
P2860
P304
P356
10.1093/BIOINFORMATICS/BTW433
P407
P577
2016-09-01T00:00:00Z
P698
P818
1606.03623