Matthew Ploenzke

Economics, Econometrics and FinanceBusiness, Management and AccountingBiochemistry, Genetics and Molecular Biology

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 1 paper. Top paper: “Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks”.

Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008925

N/A

0DataRank · unranked

97 citations

Antonio Majdandzic, Matthew Ploenzke, Praveen Anand, Steffan B. Paul, Peter K. Koo