Evidence map›Paper›PMID 28819308›Full record

ArticleScientific reports2017

An Optimal Mean Based Block Robust Feature Extraction Method to Identify Colorectal Cancer Genes with Integrated Data.

Jian Liu, Yuhu Cheng, Xuesong Wang, Lin Zhang, Hui Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. 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. Review
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

5 authors.

Jian LiuSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
Yuhu ChengSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
Xuesong WangSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China. wangxuesongcumt@163.com.
Lin ZhangSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
Hui LiuSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is urgent to diagnose colorectal cancer in the early stage. Some feature genes which are important to colorectal cancer development have been identified. However, for the early stage of colorectal cancer, less is known about the identity of specific cancer genes that are associated with advanced clinical stage. In this paper, we conducted a feature extraction method named Optimal Mean based Block Robust Feature Extraction method (OMBRFE) to identify feature genes associated with advanced colorectal cancer in clinical stage by using the integrated colorectal cancer data. Firstly, based on the optimal mean and L

Indexed as

AlgorithmsColorectal NeoplasmsGene OntologyHumansOncogenes

Identifiers

PMID28819308
PMCPMC5561268

What OpenQuestion holds

Textmetadata
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.