New advances in insecticide resistance genomics: using Machine Learning to predict resistance phenotype from large-scale genomic data - Research - Royal Holloway, University of London

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New advances in insecticide resistance genomics: using Machine Learning to predict resistance phenotype from large-scale genomic data

Project: Research

Paccanaro, Alberto (PI)

Status	Active
Effective start/end date	26/05/20 → 30/11/22

Funding

Medical Research Council MRC: £32,214

Research outputs

Protein Function Prediction for newly sequenced organisms
Research output: Contribution to journal › Article › peer-review
Machine learning and network medicine approaches for drug repositioning for COVID-19
Research output: Contribution to journal › Article › peer-review

ID: 39936294

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Royal Holloway, University of London
Egham,
Surrey,
TW20 0EX

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