Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

<p>Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Nand Sharma (21519845) (author)
مؤلفون آخرون: Joshua Millstein (29018) (author)
منشور في: 2025
الموضوعات:
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author Nand Sharma (21519845)
author2 Joshua Millstein (29018)
author2_role author
author_facet Nand Sharma (21519845)
Joshua Millstein (29018)
author_role author
dc.creator.none.fl_str_mv Nand Sharma (21519845)
Joshua Millstein (29018)
dc.date.none.fl_str_mv 2025-06-10T17:54:46Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0324622.g011
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Optimal_ovarian_cancer_BNs_learned_by_CausNet_and_CausNet-partial_/29285063
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Genetics
Biotechnology
Cancer
Infectious Diseases
Plant Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
processing takes less
possible bayesian networks
parent set constraints
finding optimal sparse
drastically reduced runtime
alarm message system
16 gb ram
large dimensional data
small bayesian networks
bayesian network designed
causnet &# 8212
partial &# 8212
based method causnet
&# 8216
real data
original causnet
xlink ">
three state
survival outcomes
survival outcome
scalable method
recent work
present work
personal computer
patient monitoring
partial order
novel way
five minutes
efficiently searches
different number
based search
art algorithms
513 genes
dc.title.none.fl_str_mv Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.</p>
eu_rights_str_mv openAccess
id Manara_56bee2dbb45535c98f22675f64ae9fb1
identifier_str_mv 10.1371/journal.pone.0324622.g011
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29285063
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.Nand Sharma (21519845)Joshua Millstein (29018)GeneticsBiotechnologyCancerInfectious DiseasesPlant BiologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedprocessing takes lesspossible bayesian networksparent set constraintsfinding optimal sparsedrastically reduced runtimealarm message system16 gb ramlarge dimensional datasmall bayesian networksbayesian network designedcausnet &# 8212partial &# 8212based method causnet&# 8216real dataoriginal causnetxlink ">three statesurvival outcomessurvival outcomescalable methodrecent workpresent workpersonal computerpatient monitoringpartial ordernovel wayfive minutesefficiently searchesdifferent numberbased searchart algorithms513 genes<p>Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.</p>2025-06-10T17:54:46ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0324622.g011https://figshare.com/articles/figure/Optimal_ovarian_cancer_BNs_learned_by_CausNet_and_CausNet-partial_/29285063CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292850632025-06-10T17:54:46Z
spellingShingle Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
Nand Sharma (21519845)
Genetics
Biotechnology
Cancer
Infectious Diseases
Plant Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
processing takes less
possible bayesian networks
parent set constraints
finding optimal sparse
drastically reduced runtime
alarm message system
16 gb ram
large dimensional data
small bayesian networks
bayesian network designed
causnet &# 8212
partial &# 8212
based method causnet
&# 8216
real data
original causnet
xlink ">
three state
survival outcomes
survival outcome
scalable method
recent work
present work
personal computer
patient monitoring
partial order
novel way
five minutes
efficiently searches
different number
based search
art algorithms
513 genes
status_str publishedVersion
title Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
title_full Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
title_fullStr Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
title_full_unstemmed Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
title_short Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
title_sort Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.
topic Genetics
Biotechnology
Cancer
Infectious Diseases
Plant Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
processing takes less
possible bayesian networks
parent set constraints
finding optimal sparse
drastically reduced runtime
alarm message system
16 gb ram
large dimensional data
small bayesian networks
bayesian network designed
causnet &# 8212
partial &# 8212
based method causnet
&# 8216
real data
original causnet
xlink ">
three state
survival outcomes
survival outcome
scalable method
recent work
present work
personal computer
patient monitoring
partial order
novel way
five minutes
efficiently searches
different number
based search
art algorithms
513 genes