🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Antonio Majdandzic

Cold Spring Harbor Laboratory

ORCID: 0000-0002-0791-7677
Physics and AstronomyBiochemistry, 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 4 papers. 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

Correcting gradient-based interpretations of deep neural networks for genomics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.29.490102
N/A
0DataRank · unranked
1 citations

Chandana Rajesh, Peter K. Koo, Antonio Majdandzic

Correcting gradient-based interpretations of deep neural networks for genomics

Genome biology(2023)10.1186/s13059-023-02956-3
N/A
0DataRank · unranked
52 citations

Chandana Rajesh, Peter K. Koo, Antonio Majdandzic

ResidualBind: Uncovering Sequence-Structure Preferences of RNA-Binding Proteins with Deep Neural Networks

Methods in molecular biology(2023)10.1007/978-1-0716-2768-6_12
N/A
0DataRank · unranked
2 citations

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