Evidence map›Paper›PMID 29087446›Full record

ArticleBioinformatics (Oxford, England)2018

ndexr-an R package to interface with the network data exchange.

Florian Auer, Zaynab Hammoud, Alexandr Ishkin, Dexter Pratt, Trey Ideker, Frank Kramer

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 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. Article
  2. Prognostic value of comprehensive typing based on m6A and gene cluster in TNBC.Journal of cancer research and clinical oncology · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Genes · 2018
    Article
  7. 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.

Florian AuerDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen 37099, Germany.
Zaynab HammoudDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen 37099, Germany.
Alexandr IshkinDiscovery Science, Clarivate Analytics, Boston, MA 02210, USA.
Dexter PrattDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Trey IdekerDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Frank KramerDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen 37099, Germany.

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
NCI NIH HHS U24 CA184427NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Motivation: Seamless exchange of biological network data enables bioinformatic algorithms to integrate networks as prior knowledge input as well as to document resulting network output. However, the interoperability between pathway databases and various methods and platforms for analysis is currently lacking. The Network Data Exchange (NDEx) is an open-source data commons that facilitates the user-centered sharing and publication of networks of many types and formats. Results: Here, we present a software package that allows users to programmatically connect to and interface with NDEx servers from within R. The network repository can be searched and networks can be retrieved and converted into igraph-compatible objects. These networks can be modified and extended within R and uploaded back to the NDEx servers. Availability and implementation: ndexr is a free and open-source R package, available via GitHub (https://github.com/frankkramer-lab/ndexr) and Bioconductor (http://bioconductor.org/packages/ndexr/). Contact: florian.auer@med.uni-goettingen.de. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareAlgorithmsComputational BiologyMetabolic Networks and PathwaysProtein Interaction MapsPublicationsSignal Transduction

Identifiers

PMID29087446
PMCPMC6248454

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.