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An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction

contributor authorBerlow, Noah
contributor authorHaider, Shahid
contributor authorQian Wan
contributor authorGeltzeiler, Mathew
contributor authorDavis, Lara E.
contributor authorKeller, Chris
contributor authorPal, Ravindra
date accessioned2020-03-13T00:01:06Z
date available2020-03-13T00:01:06Z
date issued2014
identifier issn1545-5963
identifier other6808481.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1131476?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Integrated Approach to Anti-Cancer Drug Sensitivity Prediction
typeJournal Paper
contenttypeMetadata Only
identifier padid8312273
subject keywordscancer
subject keywordscellular biophysics
subject keywordsdrug delivery systems
subject keywordsdrugs
subject keywordsgene therapy
subject keywordsgenomics
subject keywordsmedical computing
subject keywordstumours
subject keywordsCancer Cell Line Encyclopedia
subject keywordsanticancer drug sensitivity prediction
subject keywordscombination therapy design
subject keywordsdrug screen
subject keywordselastic net
subject keywordsfunctional data
subject keywordsgene expressions
subject keywordsgenetic mutation profiles
subject keywordsgenomic characterizations
subject keywordshigh-accuracy predictions
subject keywordsindividualized biological pathway
subject keywordsintegrated functional characterizations
subject keywordsmouse embryonal rhabdomyosarcoma cell culture
subject keywordspersonalized cancer thera
identifier doi10.1109/TCBB.2014.2321138
journal titleComputational Biology and Bioinformatics, IEEE/ACM Transactions on
journal volume11
journal issue6
filesize1432997
citations0


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