Evidence map›Paper›PMID 40282370›Full record

ArticleGenes2025

Biological Prior Knowledge-Embedded Deep Neural Network for Plant Genomic Prediction.

Chonghang Ye, Kai Li, Weicheng Sun, Yiwei Jiang, Weihan Zhang, Ping Zhang, Yi-Juan Hu, Yuepeng Han, Li Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chonghang YeAgricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Kai LiAgricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Weicheng SunAgricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Yiwei JiangAgricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Weihan ZhangHubei Hongshan Laboratory, Wuhan 430070, China.
Ping ZhangAgricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-6831-1807
Yi-Juan HuDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Yuepeng HanHubei Hongshan Laboratory, Wuhan 430070, China.
Li LiAgricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-9594-8341

Funding

the Fundamental Research Funds for the Central Universities 2662022JC004
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningGenome, PlantGenomicsNeural Networks, ComputerGenome-Wide Association StudyGenotypePhenotypePlant BreedingPolymorphism, Single NucleotideAI breedinggenomic predictionlatent genetic interactionmaizesoy

Identifiers

PMID40282370
PMCPMC12027452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.