Evidence map›Paper›PMID 40321944›Full record

ArticleArXiv2025

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models.

Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen and 1 more

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Joseph LeeUnversity of Pennsylvania, Philadelphia, USA.
Shu YangUnversity of Pennsylvania, Philadelphia, USA.
Jae Young BaikUnversity of Pennsylvania, Philadelphia, USA.
Xiaoxi LiuRIKEN, Yokohama, Japan.
Zhen TanArizona State University, Tempe, USA.
Dawei LiArizona State University, Tempe, USA.
Zixuan WenUnversity of Pennsylvania, Philadelphia, USA.
Bojian HouUnversity of Pennsylvania, Philadelphia, USA.
Duy Duong-TranUnited States Naval Academy, Annapolis, USA.
Tianlong ChenThe University of North Carolina at Chapel Hill, Chapel Hill, USA.
Li ShenUnversity of Pennsylvania, Philadelphia, USA.

Funding

Peripheral and Central Biomarkers of Alzheimer's Disease in Diverse CohortsU19AG074879 · NIA · MAYO CLINIC JACKSONVILLE · PI Minerva Maria Carrasquillo · 2023 to 2026
$42.0M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Artificial Intelligence Strategies for Alzheimer's Disease ResearchU01AG066833 · NIA · CEDARS-SINAI MEDICAL CENTER · PI MOORE, JASON H., RITCHIE, MARYLYN D · 2022 to 2025
$6.7M
Translational big data analytic approaches to advance drug repurposing for Alzheimer's diseaseR01AG071470 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KIM, DOKYOON, NING, XIA · 2021 to 2025
$3.8M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
NIA NIH HHS R01 AG071470NIA NIH HHS U01 AG066833NIA NIH HHS U01 AG068057NIA NIH HHS U19 AG074879NIH HHS S10 OD023495
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40321944
PMCPMC12047900

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.