Evidence map›Paper›PMID 32674507›Full record

ArticleGenes2020

Co-Expression Networks for Causal Gene Identification Based on RNA-Seq Data of

Edian F Franco, Pratip Rana, Ana Lidia Queiroz Cavalcante, Artur Luiz da Silva, Anne Cybelle Pinto Gomide, Adriana R Carneiro Folador, Vasco Azevedo, Preetam Ghosh, Rommel T J Ramos

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors at 4 institutions in 3 countries.

Edian F FrancoInstitute of Biological Sciences, Federal University of Para, Belem 66075-110, PA, Brazil.ORCID 0000-0001-9715-9437
Pratip RanaDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0001-9199-2479
Ana Lidia Queiroz CavalcanteInstitute of Biological Sciences, Federal University of Para, Belem 66075-110, PA, Brazil.ORCID 0000-0001-7750-1418
Artur Luiz da SilvaInstitute of Biological Sciences, Federal University of Para, Belem 66075-110, PA, Brazil.ORCID 0000-0002-4082-1132
Anne Cybelle Pinto GomideInstitute of Biological Science, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0003-3948-5335
Adriana R Carneiro FoladorInstitute of Biological Sciences, Federal University of Para, Belem 66075-110, PA, Brazil.ORCID 0000-0003-1522-9871
Vasco AzevedoInstitute of Biological Science, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-4775-2280
Preetam GhoshDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA.ORCID 0000-0003-3880-5886
Rommel T J RamosInstitute of Biological Sciences, Federal University of Para, Belem 66075-110, PA, Brazil.ORCID 0000-0002-8032-1474
Universidade Federal do Pará · BRUniversidade Federal de Minas Gerais · BRVirginia Commonwealth University · USInstituto Tecnológico de Santo Domingo · DO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

RNA-SeqAnimalsBuffaloesCattleCorynebacterium InfectionsCorynebacterium pseudotuberculosisGene Expression Regulation, BacterialGene Regulatory NetworksGoatsHorsesLymphadenitisSheepco-expression networksCorynebacterium pseudotuberculosisinfluence genesRNA-Seqstress condition

Identifiers

PMID32674507
PMCPMC7397307
OpenAlexW3040277350

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.