Regulatory Genes Through Robust-SNR for Binary Classification Within Functional Genomics Experiments
Regulatory Genes Through Robust-SNR for Binary Classification Within Functional Genomics Experiments
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Full title
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Publisher
Henderson: Tech Science Press
Journal title
Language
English
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Publisher
Henderson: Tech Science Press
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Scope and Contents
Contents
The current study proposes a novel technique for feature selection by inculcating robustness in the conventional Signal to noise Ratio (SNR). The proposed method utilizes the robust measures of location i.e., the “Median” as well as the measures of variation i.e., “Median absolute deviation (MAD) and Interquartile range (IQR)” in the SNR. By this w...
Alternative Titles
Full title
Regulatory Genes Through Robust-SNR for Binary Classification Within Functional Genomics Experiments
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Record Identifier
TN_cdi_proquest_journals_3199834708
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3199834708
Other Identifiers
ISSN
1546-2226,1546-2218
E-ISSN
1546-2226
DOI
10.32604/cmc.2023.030064
