Evidence map›Paper›PMID 29344883›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data.

Amanda J Kedaigle, Ernest Fraenkel

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Challenges and Opportunities for Statistics in Omics Data Analysis.Advances in experimental medicine and biology · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Turning omics data into therapeutic insights.Current opinion in pharmacology · 2018
    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

2 authors.

Amanda J KedaigleComputational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ernest FraenkelComputational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA. fraenkel-admin@mit.edu.

Funding

Interdepartmental Biotechnology Training ProgramT32GM008334 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 1989 to 2018
$15.2M
Epigenetic Pathology and Therapy in Huntington's DiseaseR01NS089076 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST, HOUSMAN, DAVID · 2015 to 2024
$4.9M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Embryonal Brain Tumor NetworksU01CA184898 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST, MESIROV, JILL P. · 2014 to 2019
$3.6M
NCI NIH HHS U01 CA184898NIGMS NIH HHS T32 GM008334NIGMS NIH HHS T32 GM087237NINDS NIH HHS R01 NS089076
6 · The paper itself

Abstract

With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. Network biology provides one such method for high-throughput data integration, but comes with its own set of algorithmic problems and needed expertise. We provide a step-by-step guide for using Omics Integrator, a software package designed for the integration of transcriptomic, epigenomic, and proteomic data. Omics Integrator can be found at http://fraenkel.mit.edu/omicsintegrator .

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksSoftwareEpigenomicsGenomicsHumansNeoplasmsProteomicsTranscriptomeComputational biologyData integrationHigh-throughput dataNetwork biology

Identifiers

PMID29344883
PMCPMC6309679

What OpenQuestion holds

Textmetadata
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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.