The GenoPred pipeline: a comprehensive and scalable pipeline for polygenic scoring

Authors

Ammar Al‐Chalabi (ORCID: https://orcid.org/0000-0002-4924-7712)
Cathryn M. Lewis (ORCID: https://orcid.org/0000-0002-8249-8476)
Oliver Pain (ORCID: https://orcid.org/0000-0001-5680-3281)

Institutions

King's College London (GB)

Publication Details

Journal: Bioinformatics
Published: 2024-09-17
DOI: https://doi.org/10.1093/bioinformatics/btae551
Citations: 29
Primary Topic: Power Systems and Technologies
Type: article
Field-Weighted Citation Impact: 5.84

Funders

South London and Maudsley NHS Foundation Trust
EU Joint Programme – Neurodegenerative Disease Research
National Institute for Health and Care Research
King's College London
Medical Research Council

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

The GenoPred pipeline: a comprehensive and scalable pipeline for polygenic scoring

Ammar Al‐Chalabi, Cathryn M. Lewis, Oliver Pain

Sep 17, 2024

29 citations

Bioinformatics

Power Systems and Technologies

5.84

article

The GenoPred pipeline: a comprehensive and scalable pipeline for polygenic scoring

Ammar Al‐Chalabi, Cathryn M. Lewis, Oliver Pain

September 17, 2024article en

29 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(10)

King's College London (GB)

South London and Maudsley NHS Foundation Trust, EU Joint Programme – Neurodegenerative Disease Research, National Institute for Health and Care Research, King's College London, Medical Research Council

Openalex Percentile: Top 3%

Power Systems and Technologies

5.84

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.