Ayse B. Dincer

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 5 papers. Top paper: “Adversarial deconfounding autoencoder for learning robust gene expression embeddings”.

Adversarial deconfounding autoencoder for learning robust gene expression embeddings

Bioinformatics(2020)10.1093/bioinformatics/btaa796

N/A

0DataRank · unranked

87 citations

Joseph D. Janizek, Su-In Lee, Ayse B. Dincer

Adversarial Deconfounding Autoencoder for Learning Robust Gene Expression Embeddings

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.28.065052

N/A

0DataRank · unranked

5 citations

Joseph D. Janizek, Su-In Lee, Ayse B. Dincer

Interpretable machine learning prediction of all-cause mortality

Communications Medicine(2022)10.1038/s43856-022-00180-x

N/A

0DataRank · unranked

103 citations

Hugh Chen, Ayse B. Dincer, Scott Lundberg, Matt Kaeberlein, Su-In Lee +1 more

An automatic integrative method for learning interpretable communities of biological pathways

NAR Genomics and Bioinformatics(2022)10.1093/nargab/lqac044

N/A

0DataRank · unranked

3 citations

Ayse B. Dincer, Su-In Lee, Nicasia Beebe-Wang

A deep profile of gene expression across 18 human cancers

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.17.585426

N/A

0DataRank · unranked

3 citations

Ayse B. Dincer, Joseph D. Janizek, Safiye Çelik, Mikaël J. Pittet, Kamila Naxerova +2 more