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

Jeffrey A. Bilmes

University of Washington

ORCID: 0000-0002-7372-8778

Also affiliated with Seattle University

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 1%percentile
9.9Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Integrative annotation of chromatin elements from ENCODE data

Nucleic Acids Research(2012)10.1093/nar/gks1284
Top 2%
7.9DataRank
Top 2%628 citations

Jason Ernst, Steven P. Wilder, Anshul Kundaje, Robert S. Harris, Max Libbrecht +10 more

Papers

Driven by 11 papers — median percentile 87. Top paper: “Integrative annotation of chromatin elements from ENCODE data”.

Integrative annotation of chromatin elements from ENCODE data

Nucleic Acids Research(2012)10.1093/nar/gks1284
Top 2%
7.9DataRank
Top 2%628 citations

Jason Ernst, Steven P. Wilder, Anshul Kundaje, Robert S. Harris, Max Libbrecht +10 more

A pitfall for machine learning methods aiming to predict across cell types

Genome biology(2020)10.1186/s13059-020-02177-y
N/A
1.8DataRank · unranked
57 citations

Ritambhara Singh, Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples

Genome biology(2020)10.1186/s13059-020-01978-5
Top 13%
1.6DataRank
Top 13%48 citations

Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome

Genome biology(2020)10.1186/s13059-020-01977-6
N/A
0.736DataRank · unranked
134 citations

Timothy Durham, Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

Epiphany: predicting Hi-C contact maps from 1D epigenomic signals

Genome biology(2023)10.1186/s13059-023-02934-9
N/A
0.601DataRank · unranked
54 citations

Arnav Das, Vianne R. Gao, Alireza Karbalayghareh, William Stafford Noble, Jeffrey A. Bilmes +2 more

Submodular sketches of single-cell RNA-seq measurements

(2020)10.1145/3388440.3412409
Top 49%
0.365DataRank
Top 49%4 citations

Jeffrey A. Bilmes, William Stafford Noble, Wei Yang

Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data

Bioinformatics(2020)10.1093/bioinformatics/btaa830
N/A
0.208DataRank · unranked
3 citations

Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

Linking cells across single-cell modalities by synergistic matching of neighborhood structure

Bioinformatics(2022)10.1093/bioinformatics/btac481
N/A
0DataRank · unranked
4 citations

Jeffrey A. Bilmes, William Stafford Noble, Borislav H. Hristov

Linking cells across single-cell modalities by synergistic matching of neighborhood structure

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.20.488794
N/A
0DataRank · unranked
0 citations

Jeffrey A. Bilmes, William Stafford Noble, Borislav H. Hristov

MS1Connect: a mass spectrometry run similarity measure

Bioinformatics(2023)10.1093/bioinformatics/btad058
N/A
0DataRank · unranked
1 citations

Brooke L. Deatherage Kaiser, Janine R. Hutchison, Jeffrey A. Bilmes, William Stafford Noble, Andy Lin

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2401.06692
N/A
0DataRank · unranked
0 citations

Yifang Chen, Arnav Das, Jifan Zhang, Sang Truong, Stephen Mussmann +7 more