Evidence map›Paper›PMID 31722090›Full record

ArticlePlant molecular biology2019

HLMethy: a machine learning-based model to identify the hidden labels of m

Ze Liu, Wei Dong, WenJie Luo, Wei Jiang, QuanWu Li, ZiLi He

Abstract read
PubMed Publisher
In one paragraph

Article in Plant molecular biology, 2019. 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. 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

6 authors.

Ze LiuCollege of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China.ORCID http://orcid.org/0000-0002-9044-139X
Wei DongCollege of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China. dongw@nwafu.edu.cn.ORCID http://orcid.org/0000-0002-3264-5423
WenJie LuoCollege of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Wei JiangCollege of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China.
QuanWu LiCollege of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China.
ZiLi HeCollege of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China.

Funding

Postdoctoral Research Foundation of China (CN) 2018M643744Start-up fund of Northwest A&F University Z109021809Young Scientists Fund 61902323
6 · The paper itself

Abstract

key messageWe developed a machine learning-based model to identify the hidden labels of m

Indexed as

Machine LearningModels, Theoreticalm6A-seqmiSVMMultiple instance learningPeak calling

Identifiers

PMID31722090

What OpenQuestion holds

Textmetadata
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.