Feature-specific quantile normalization and feature-specific mean–variance normalization deliver robust bi-directional classification and feature selection performance between microarray and RNAseq data
Abstract Background Cross-platform normalization seeks to minimize technological bias between microarray and RNAseq whole-transcriptome data. Incorporating multiple gene expression platforms permits external validation of experimental findings, and augments training sets for machine learning models....
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
BMC
2024-03-01
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| سلاسل: | BMC Bioinformatics |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1186/s12859-024-05759-w |