David H. Brookes

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Sparse Epistatic Regularization of Deep Neural Networks for Inferring Fitness Functions”.

Sparse Epistatic Regularization of Deep Neural Networks for Inferring Fitness Functions

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.24.396994

N/A

0DataRank · unranked

4 citations

Hunter Nisonoff, Orhan Öçal, David H. Brookes, Yijie Huang, O. Ozan Koyluoglu +3 more

Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions

Nature Communications(2021)10.1038/s41467-021-25371-3

N/A

0DataRank · unranked

44 citations

Hunter Nisonoff, Orhan Öçal, David H. Brookes, Yijie Huang, O. Ozan Koyluoglu +3 more

Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.02.467003

N/A

0DataRank · unranked

17 citations

David H. Brookes, Akosua Busia, A. Carneiro, Clara Fannjiang, Galina Popova +7 more

Optimal trade-off control in machine learning–based library design, with application to adeno-associated virus (AAV) for gene therapy

Science Advances(2024)10.1126/sciadv.adj3786

N/A

0DataRank · unranked

48 citations

David H. Brookes, Akosua Busia, A. Carneiro, Clara Fannjiang, Galina Popova +10 more