首页|New Machine Learning Study Findings Have Been Reported from University of Albert a (Feature-specific quantile normalization and feature-specific mean-variance no rmalization deliver robust bidirectional classification and feature selection . ..)

New Machine Learning Study Findings Have Been Reported from University of Albert a (Feature-specific quantile normalization and feature-specific mean-variance no rmalization deliver robust bidirectional classification and feature selection . ..)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting originating fr om the University of Alberta by NewsRx correspondents, research stated,“Cross-p latform normalization seeks to minimize technological bias between microarray an d RNAseqwhole-transcriptome data. Incorporating multiple gene expression platfo rms permits external validation ofexperimental findings, and augments training sets for machine learning models.”

University of AlbertaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.17)