Dalberg Global Development Advisors

Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data

Wouter Deelder, Sofia Christakoudi, Jody Phelan et al. · Frontiers in Genetics · 2019 · 92 citations · Full text

Life Sciences, Bioinformatics, Molecular Genetics +16

A typology of fisheries management tools: using experience to catalyse greater success

Elizabeth R. Selig, Kristin M. Kleisner, Oren Ahoobim et al. · Fish and Fisheries · 2016 · 66 citations

Natural Resources, Fisheries, Fisheries Biology +10

Controlling the SARS-CoV-2 outbreak, insights from large scale whole genome sequences generated across the world

Jody Phelan, Wouter Deelder, Daniel Ward et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 36 citations · Full text

Life Sciences, Evolutionary Biology, Infectious Diseases +17

Using deep learning to identify recent positive selection in malaria parasite sequence data

Wouter Deelder, Ernest Diez Benavente, Jody Phelan et al. · Malaria Journal · 2021 · 30 citations · Full text

Life Sciences, Genetics, Molecular Genetics +13

A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

Wouter Deelder, Gary Napier, Susana Campino et al. · BMC Genomics · 2022 · 30 citations · Full text

Pharmacy, Bioinformatics, Molecular Genetics +13