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Computational transcription factor binding prediction using random forests

contributor authorSmitha, C S
contributor authorSaritha, R
date accessioned2020-03-12T22:06:09Z
date available2020-03-12T22:06:09Z
date issued2014
identifier other6993028.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1071467?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleComputational transcription factor binding prediction using random forests
typeConference Paper
contenttypeMetadata Only
identifier padid8207540
subject keywordscable sheathing
subject keywordsn electric shocks
subject keywordsn high-voltage engineering
subject keywordsn power cables
subject keywordsn power system analysis computing
subject keywordsn computer-aided analysis
subject keywordsn high voltage power cable system
subject keywordsn induced sheath voltages
subject keywordsn metallic sheaths
subject keywordsn sheaths bonding
subject keywordsn shock hazard
subject keywordsn Bonding
subject keywordsn Cable shielding
subject keywordsn Conductors
subject keywordsn Earth
subject keywordsn Grounding
subject keywordsn Power cables
subject keywordsn Voltage control
subject keywordsn electrical safety
subject keywordsn electromagnetic coupling
subject keywordsn power engineering
subject keywordsn power system analysis comp
identifier doi10.1109/DT.2014.6868689
journal titleontrol, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International
filesize418476
citations0


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