Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data

Bibliographic Details
Main Authors: Langston Michael A, Moscato Pablo, Rogers Gary L
Format: Article
Language:English
Published: BMC 2010-07-01
Series:BMC Bioinformatics
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author Langston Michael A
Moscato Pablo
Rogers Gary L
author_facet Langston Michael A
Moscato Pablo
Rogers Gary L
author_sort Langston Michael A
collection DOAJ
first_indexed 2024-12-23T04:43:19Z
format Article
id doaj.art-cf9c751028924a459a0ba86f103eb91d
institution Directory Open Access Journal
issn 1471-2105
language English
last_indexed 2024-12-23T04:43:19Z
publishDate 2010-07-01
publisher BMC
record_format Article
series BMC Bioinformatics
spelling doaj.art-cf9c751028924a459a0ba86f103eb91d2022-12-21T17:59:44ZengBMCBMC Bioinformatics1471-21052010-07-0111Suppl 4P2110.1186/1471-2105-11-S4-P21Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic dataLangston Michael AMoscato PabloRogers Gary L
spellingShingle Langston Michael A
Moscato Pablo
Rogers Gary L
Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
BMC Bioinformatics
title Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
title_full Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
title_fullStr Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
title_full_unstemmed Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
title_short Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
title_sort graph algorithms for machine learning a case control study based on prostate cancer populations and high throughput transcriptomic data
work_keys_str_mv AT langstonmichaela graphalgorithmsformachinelearningacasecontrolstudybasedonprostatecancerpopulationsandhighthroughputtranscriptomicdata
AT moscatopablo graphalgorithmsformachinelearningacasecontrolstudybasedonprostatecancerpopulationsandhighthroughputtranscriptomicdata
AT rogersgaryl graphalgorithmsformachinelearningacasecontrolstudybasedonprostatecancerpopulationsandhighthroughputtranscriptomicdata