Evidence map›Paper›PMID 35035785›Full record

ArticleComputational and structural biotechnology journal2022

LncRNA functional annotation with improved false discovery rate achieved by disease associations.

Yongheng Wang, Jincheng Zhai, Xianglu Wu, Enoch Appiah Adu-Gyamfi, Lingping Yang, Taihang Liu, Meijiao Wang, Yubin Ding, Feng Zhu, Yingxiong Wang and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Innovation in CRC Research: Targeting SPACA6P-AS for Progression.Journal of biochemical and molecular toxicology · 2024
    Article
  2. Article
  3. Identification ofFrontiers in endocrinology · 2023
    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

11 authors at 3 institutions in 1 country.

Yongheng WangSchool of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Jincheng ZhaiSchool of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Xianglu WuSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.
Enoch Appiah Adu-GyamfiJoint International Research Laboratory of Reproductive and Development, Department of Reproductive Biology, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Lingping YangSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.
Taihang LiuSchool of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Meijiao WangJoint International Research Laboratory of Reproductive and Development, Department of Reproductive Biology, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Yubin DingJoint International Research Laboratory of Reproductive and Development, Department of Reproductive Biology, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Feng ZhuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Yingxiong WangJoint International Research Laboratory of Reproductive and Development, Department of Reproductive Biology, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
Jing TangSchool of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Chongqing Medical University · CNChongqing Public Health Medical Center · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long non-coding RNAs (lncRNAs) play critical roles in various biological processes and are associated with many diseases. Functional annotation of lncRNAs in diseases attracts great attention in understanding their etiology. However, the traditional co-expression-based analysis usually produces a significant number of false positive function assignments. It is thus crucial to develop a new approach to obtain lower false discovery rate for functional annotation of lncRNAs. Here, a novel strategy termed DAnet which combining disease associations with

Indexed as

Coefficient of variationDisease-associated SNPsFunctional predictionLong non‐coding RNAWGCNA

Identifiers

PMID35035785
PMCPMC8724965
OpenAlexW4200473440

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.