Nathan Johnson

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

Steve Rodriguez, Clemens B. Hug, Petar V. Todorov et al. · Nature Communications · 2021 · 297 citations · Full text

Pharmacy, Bioinformatics, Pharmacology +17

Targeting immunosuppressive macrophages overcomes PARP inhibitor resistance in BRCA1-associated triple-negative breast cancer

Anita K. Mehta, Emily Cheney, Christina Hartl et al. · Nature Cancer · 2020 · 259 citations · Full text

Medicine, Immunology, Oncology +16

The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes

Rick E. Masonbrink, Tom Maier, Usha Muppirala et al. · BMC Genomics · 2019 · 94 citations · Full text

Agriculture, Genetics, Plant Sciences +17

Integrated methylome and transcriptome analysis reveals novel regulatory elements in pediatric acute lymphoblastic leukemia

Md Almamun, Benjamin T Levinson, Annette C Van Swaay et al. · Epigenetics · 2015 · 81 citations · Full text

Life Sciences, Genetics, Oncology +17

Biological classification with RNA-seq data: Can alternatively spliced transcript expression enhance machine learning classifiers?

Nathan Johnson, Andi Dhroso, Katelyn J. Hughes et al. · RNA · 2018 · 49 citations · Full text

Life Sciences, Molecular Biology, Gene Expression +14