Stephanie J. Müller

Classification of COVID-19 and Other Pathogenic Sequences: A Dinucleotide Frequency and Machine Learning Approach

Richard A. Young, Gciniwe S. Dlamini, Stephanie J. Müller, 2020, IEEE Access.

Phenotype Prediction of DNA Sequence Data: A Machine- and Statistical Learning Approach

Mpho Mokoatle, Gciniwe S. Dlamini, Stephanie J. Müller, 2020, 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach

Gciniwe S. Dlamini, Stephanie J. Müller, Rebone L. Meraba, 2021, AMIA.

Evaluating the Accuracy of Imputation Methods in a Five-Way Admixed Population

Stephanie J. Müller, P. V. van Helden, G. Tromp, 2019, Front. Genet..

A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort.

Stephanie J. Müller, S. Niemann, P. V. van Helden, 2021, Genomics.

A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort

Stephanie J. Müller, S. Niemann, P. V. van Helden, 2020, medRxiv.