Katherine E. Niehaus

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study

Thomas A. Kohl, Shaheed Vally Omar, Jessica Hedge et al. · The Lancet Infectious Diseases · 2015 · 682 citations · Full text

Bioinformatics, Whole-genome Sequencing, Retrospective Cohort Study +15

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Nathan Wan, David S. Weinberg, Tzu‐Yu Liu et al. · BMC Cancer · 2019 · 197 citations · Full text

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

Yang Yang, Katherine E. Niehaus, Zamin Iqbal et al. · Bioinformatics · 2017 · 150 citations · Full text

Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis

Katherine E. Niehaus, Derrick W. Crook, David A. Clifton · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · 2014 · 44 citations

Engineering, Machine Learning, Antibacterial Susceptibility +22

First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage

Ian A. Clark, Katherine E. Niehaus, Eugene Duff et al. · Behaviour Research and Therapy · 2014 · 38 citations · Full text

Neuropsychology, Machine Learning, Affective Neuroscience +22