Evidence map›Paper›PMID 39571573›Full record

ArticleCell genomics2024

A combined deep learning framework for mammalian m6A site prediction.

Rui Fan, Chunmei Cui, Boming Kang, Zecheng Chang, Guoqing Wang, Qinghua Cui

Abstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  7. mArXiv · 2026
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  13. NMolecular medicine reports · 2026
    Article
  14. Article
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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

6 authors.

Rui FanDepartment of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China.
Chunmei CuiDepartment of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China. Electronic address: ccm328@bjmu.edu.cn.
Boming KangDepartment of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China.
Zecheng ChangState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, College of Basic Medicine, Jilin University, Changchun 130021, China.
Guoqing WangState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, College of Basic Medicine, Jilin University, Changchun 130021, China. Electronic address: qing@jlu.edu.cn.
Qinghua CuiSchool of Sports Medicine, Wuhan Institute of Physical Education, No. 461 Luoyu Road, Wuchang District, Wuhan 430079, Hubei Province, China; Department of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China; Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, 49 Huayuanbei Road, Beijing 100191, China. Electronic address: cuiqinghua@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N

Indexed as

AdenosineDeep LearningAnimalsComputational BiologyHumansMammalsNeural Networks, ComputerRNA, MessengerAdenosineN-methyladenosineRNA, Messengerdeep neural networkepitranscriptomem6A site predictionrecurrent neural networkRNA modificationTransformer neural network

Identifiers

PMID39571573
PMCPMC11701256

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.