Publications by authors named "Alan G Christoffels"
J Bioinform Comput Biol
October 2016
Article Synopsis
- Microarray experiments in transcriptomics face challenges due to small sample sizes, leading to limited statistical power and potential misinterpretation of expression data.
- Quantile discretization (QD) helps normalize and combine data from different experiments, but improper selection of bin numbers can obscure true correlations by lumping different expression levels into the same category.
- The proposed procedure for optimizing bin numbers in dataset analysis revealed previously unnoticed tumorigenesis-related genes and cancer biomarkers in public breast cancer datasets, highlighting the importance of accurate data handling for biomedical research.
