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Alromema et al., 2023 - Google Patents

A hybrid machine learning approach to screen optimal predictors for the classification of primary breast tumors from gene expression microarray data

Alromema et al., 2023

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Document ID
5343686396646408843
Author
Alromema N
Syed A
Khan T
Publication year
Publication venue
Diagnostics

External Links

Snippet

The high dimensionality and sparsity of the microarray gene expression data make it challenging to analyze and screen the optimal subset of genes as predictors of breast cancer (BC). The authors in the present study propose a novel hybrid Feature Selection (FS) …
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    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
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    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06Q10/00Administration; Management
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    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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