Evidence map›Paper›PMID 34321962›Full record

ArticleJournal of statistical software2021

SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data.

Tyler Grimes, Somnath Datta

Abstract read
In one paragraph

Article in Journal of statistical software, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Generating correlated data for omics simulation.PLoS computational biology · 2025
    Article
  2. Article
  3. Clonal distribution and molecular characterization ofMedicine and pharmacy reports · 2024
    Article
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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.

Tyler GrimesUniveristy of Florida, Department of Biostatistics.
Somnath DattaUniveristy of Florida, Department of Biostatistics.

Funding

Exploratory Statistical Analysis of Differential Network Behaviors Based on Gene Expression Atlas of Palate DevelopmentR03DE025625 · NIDCR · UNIVERSITY OF FLORIDA · PI DATTA, SOMNATH · 2016 to 2017
$460k
NIDCR NIH HHS R03 DE025625
6 · The paper itself

Abstract

Gene expression data provide an abundant resource for inferring connections in gene regulatory networks. While methodologies developed for this task have shown success, a challenge remains in comparing the performance among methods. Gold-standard datasets are scarce and limited in use. And while tools for simulating expression data are available, they are not designed to resemble the data obtained from RNA-seq experiments. SeqNet is an R package that provides tools for generating a rich variety of gene network structures and simulating RNA-seq data from them. This produces

Indexed as

co-expression methodsdifferential network analysisGaussian graphical modelGene regulatory networks

Identifiers

PMID34321962
PMCPMC8315007

What OpenQuestion holds

Textmetadata
LicenceTDM
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.