Publications by authors named "Darlington S Mapiye"
The persistence and emergence of new multi-drug resistant Mycobacterium tuberculosis (M. tb) strains continues to advance the devastating tuberculosis (TB) epidemic. Robust systems are needed to accurately and rapidly perform drug-resistance profiling, and machine learning (ML) methods combined with genomic sequence data may provide novel insights into drug-resistance mechanisms.
View Article and Find Full Text PDFThe world is grappling with the COVID-19 pandemic caused by the 2019 novel SARS-CoV-2. To better understand this novel virus and its relationship with other pathogens, new methods for analyzing the genome are required. In this study, intrinsic dinucleotide genomic signatures were analyzed for whole genome sequence data of eight pathogenic species, including SARS-CoV-2.
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- 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.