Evidence map›Paper›PMID 32733123›Full record

ArticleEvolutionary bioinformatics online2020

Prediction of RNA Methylation Status From Gene Expression Data Using Classification and Regression Methods.

Hao Xue, Zhen Wei, Kunqi Chen, Yujiao Tang, Xiangyu Wu, Jionglong Su, Jia Meng

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Recent advances in functional annotation and prediction of the epitranscriptome.Computational and structural biotechnology journal · 2021
    Review
  4. Article
  5. Article
  6. Article
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 3 institutions in 3 countries.

Hao XueDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0000-0003-1231-4747
Zhen WeiDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Kunqi ChenDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0000-0002-6025-8957
Yujiao TangDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xiangyu WuDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Jionglong SuDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Jia MengDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
University of Liverpool · GBHarvard University · USXi’an Jiaotong-Liverpool University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA

Indexed as

Epitranscriptomicsmachine learningmultiomicsnext generation sequencingsupervised learning

Identifiers

PMID32733123
PMCPMC7372605
OpenAlexW3044850821

What OpenQuestion 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 OpenQuestion graph.