Ellen M. Greytak

ORCID: 0000-0002-1935-7515

Biochemistry, Genetics and Molecular BiologyArts and HumanitiesEnvironmental 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 2 papers. Top paper: “Epistatic Features and Machine Learning Improve Alzheimer’s Risk Prediction Over Polygenic Risk Scores”.

Epistatic Features and Machine Learning Improve Alzheimer’s Risk Prediction Over Polygenic Risk Scores

medRxiv(2023)10.1101/2023.02.10.23285766

N/A

0DataRank · unranked

3 citations

Janet Cady, Steven Armentrout, James P.B. O’Connor, Sarah E. Carlson, Carlos Cruchaga +4 more

Epistatic Features and Machine Learning Improve Alzheimer’s Disease Risk Prediction Over Polygenic Risk Scores

Journal of Alzheimer s Disease(2024)10.3233/jad-230236

N/A

0DataRank · unranked

8 citations

Janet Cady, Steven Armentrout, James P.B. O’Connor, Sarah Carlson Holdaway, Carlos Cruchaga +4 more