2 papers
q-bio.QM2025
Association of normalization, non-differentially expressed genes and data source with machine learning performance in intra-dataset or cross-dataset modelling of transcriptomic and clinical data
Fei Deng, Lanjing Zhang
Cross-dataset testing is critical for examining machine learning (ML) model's performance. However, most studies on modelling transcriptomic and clinical data only conducted intra-…
q-bio.QM2025
Normalization and selecting non-differentially expressed genes improve machine learning modelling of cross-platform transcriptomic data
Fei Deng, Catherine H Feng, Nan Gao +1
Normalization is a critical step in quantitative analyses of biological processes. Recent works show that cross-platform integration and normalization enable machine learning (ML)…