Evidence map›Paper›PMID 40779113›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

NGP: A Tool to Detect Noncoding RNA-Gene Regulatory Pairs from Transcriptomic Data.

Hongjie Ke, Tianzhou Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hongjie KeDepartment of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, MD, USA.
Tianzhou MaDepartment of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, MD, USA. tma0929@umd.edu.

Funding

A novel transcriptome-connectome approach to study the neurogenetic mechanism of nicotine and cannabis addictionK01DA059603 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI Tianzhou MA · 2024 to 2026
$579k
NIDA NIH HHS K01 DA059603
6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs) play key roles in cancer initiation, promotion, and progression via regulating the expression of critical genes. Existing methods performed simple bivariate analysis on each pair of ncRNA and gene separately without considering the complex interactions among ncRNAs and genes. We developed a statistically rigorous and computationally efficient software tool to identify essential ncRNA-gene regulatory pairs from transcriptome-wide ncRNA and gene expression data. Here we provide a practical guidance with real data examples on the use of the tool implemented in the R package "NGP."

Indexed as

Computational BiologyGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksRNA, UntranslatedSoftwareTranscriptomeHumansRNA, UntranslatedGene expressionGene regulationNGPNoncoding RNA

Identifiers

What OpenQuestion holds

Textmetadata
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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.