Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants.
about
Computational identification of a transiently open L1/S3 pocket for reactivation of mutant p53Structures of oncogenic, suppressor and rescued p53 core-domain variants: mechanisms of mutant p53 rescuePredicting transcriptional activity of multiple site p53 mutants based on hybrid propertiesPredicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.An active role for machine learning in drug developmentPrediction of P53 mutants (multiple sites) transcriptional activity based on structural (2D&3D) properties.Deciding when to stop: efficient experimentation to learn to predict drug-target interactionsAn indicator cell assay for blood-based diagnostics.Compensated pathogenic deviations.An economic framework to prioritize confirmatory tests after a high-throughput screen.Learning active fusion of multiple experts' decisions: an attention-based approach.
P2860
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P2860
Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@en
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@nl
type
label
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@en
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@nl
prefLabel
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@en
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@nl
P2093
P2860
P356
P1433
P1476
Choosing where to look next in ...... ive p53 cancer rescue mutants.
@en
P2093
Rainer K Brachmann
Richard H Lathrop
Samuel A Danziger
P2860
P304
P356
10.1093/BIOINFORMATICS/BTM166
P407
P577
2007-07-01T00:00:00Z