Functional analysis of microarray gene expression data using random forest and gene ontology /

Bibliographic Details
Main Authors: Tham, Wen Shi, 1989-, author, Mohd. Saberi Mohammad, Fakulti Komputeran
Format:
Language:eng
Published: 2013
Subjects:
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author Tham, Wen Shi, 1989-, author
Mohd. Saberi Mohammad
Fakulti Komputeran
author_facet Tham, Wen Shi, 1989-, author
Mohd. Saberi Mohammad
Fakulti Komputeran
author_sort Tham, Wen Shi, 1989-, author
collection OCEAN
description
first_indexed 2024-03-05T13:24:14Z
format
id KOHA-OAI-TEST:498084
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T13:24:14Z
publishDate 2013
record_format dspace
spelling KOHA-OAI-TEST:4980842020-12-19T17:18:24ZFunctional analysis of microarray gene expression data using random forest and gene ontology / Tham, Wen Shi, 1989-, author Mohd. Saberi Mohammad Fakulti Komputeran 2013engIncludes bibliographical referencesPRZSLDNA microarrays
spellingShingle DNA microarrays
Tham, Wen Shi, 1989-, author
Mohd. Saberi Mohammad
Fakulti Komputeran
Functional analysis of microarray gene expression data using random forest and gene ontology /
title Functional analysis of microarray gene expression data using random forest and gene ontology /
title_full Functional analysis of microarray gene expression data using random forest and gene ontology /
title_fullStr Functional analysis of microarray gene expression data using random forest and gene ontology /
title_full_unstemmed Functional analysis of microarray gene expression data using random forest and gene ontology /
title_short Functional analysis of microarray gene expression data using random forest and gene ontology /
title_sort functional analysis of microarray gene expression data using random forest and gene ontology
topic DNA microarrays
work_keys_str_mv AT thamwenshi1989author functionalanalysisofmicroarraygeneexpressiondatausingrandomforestandgeneontology
AT mohdsaberimohammad functionalanalysisofmicroarraygeneexpressiondatausingrandomforestandgeneontology
AT fakultikomputeran functionalanalysisofmicroarraygeneexpressiondatausingrandomforestandgeneontology