Evidence map›Paper›PMID 31723409›Full record

ArticleF1000Research2018

Predicting transcription factor binding using ensemble random forest models.

Fatemeh Behjati Ardakani, Florian Schmidt, Marcel H Schulz

Abstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Modeling strategies forBioinformatics advances · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Benefiting from the intrinsic role of epigenetics to predict patterns of CTCF binding.Computational and structural biotechnology journal · 2023
    Article
  6. Article
  7. Protein-Protein Interactions Efficiently Modeled by Residue Cluster Classes.International journal of molecular sciences · 2020
    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

3 authors.

Fatemeh Behjati Ardakani *High throughput Genomics and Systems Biology, Cluster of Excellence on Multimodel Computing and Interaction, Saarland University, Saarbruecken,, Saarland, 66123, Germany.ORCID 0000-0002-0185-3932
Florian Schmidt *High throughput Genomics and Systems Biology, Cluster of Excellence on Multimodel Computing and Interaction, Saarland University, Saarbruecken,, Saarland, 66123, Germany.ORCID 0000-0001-9222-6207
Marcel H SchulzHigh throughput Genomics and Systems Biology, Cluster of Excellence on Multimodel Computing and Interaction, Saarland University, Saarbruecken,, Saarland, 66123, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Binding SitesChromatin ImmunoprecipitationNucleotide MotifsProtein BindingTranscription FactorsTranscription FactorsChromatin accessibilityDNase1-seqENCODE-DREAM in vivo Transcription Factor binding site prediction challengeEnsemble learningIndirect-bindingTF-complexesTranscription Factors

Identifiers

PMID31723409
PMCPMC6823902

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.