Evidence map›Paper›PMID 37113248›Full record

ArticleBioinformatics advances2023

iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models.

Jiahao Li, Zhourun Wu, Wenhao Lin, Jiawei Luo, Jun Zhang, Qingcai Chen, Junjie Chen

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jiahao LiSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.
Zhourun WuSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.
Wenhao LinSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.
Jiawei LuoSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.
Jun ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.
Qingcai ChenSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.ORCID https://orcid.org/0000-0001-8473-7293
Junjie ChenSchool of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China.ORCID https://orcid.org/0000-0002-0483-303X
Harbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Enhancers are important Results: In this article, we propose a novel enhancer identification method (iEnhancer-ELM) based on BERT-like enhancer language models. iEnhancer-ELM tokenizes DNA sequences with multi-scale Availability and implementation: The models and associated code are available at https://github.com/chen-bioinfo/iEnhancer-ELM. Supplementary information: Supplementary data are available at

Identifiers

PMID37113248
PMCPMC10125906
OpenAlexW4360938365

What OpenQuestion holds

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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.