Regulatory genes identification within functional genomics experiments for tissue classification int...
Regulatory genes identification within functional genomics experiments for tissue classification into binary classes via machine learning techniques
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Publisher
Pakistan: Knowledge Bylanes
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Language
English
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Pakistan: Knowledge Bylanes
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Abstract
Objectives: The aim of this study is to filter out the most informative genes that mainly regulate the target tissue class, increase classification accuracy, reduce the curse of dimensionality, and discard redundant and irrelevant genes.
Methods: This paper presented the idea of gene selection using bagging sub-forest (BSF). The pro...
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Full title
Regulatory genes identification within functional genomics experiments for tissue classification into binary classes via machine learning techniques
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TN_cdi_gale_infotracmisc_A645425863
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A645425863
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ISSN
0030-9982
DOI
10.47391/JPMA.201
