Evidence map›Paper›PMID 36308697›Full record

SynthesisMethods in molecular biology (Clifton, N.J.)2023

Integrating Multiple Quantitative Proteomic Analyses Using MetaMSD.

So Young Ryu, Miriam P Yun, Sujung Kim

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Methods in molecular biology (Clifton, N.J.), 2023. 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
1.2field-weighted citation impact, top 17% of its field
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, 2 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

So Young RyuSchool of Public Health, University of Nevada Reno, Reno, NV, USA. soyoungr@unr.edu.
Miriam P YunDepartment of Psychology Institute for Neuroscience, University of Nevada Reno, Reno, NV, USA.
Sujung KimSchool of Public Health, University of Nevada Reno, Reno, NV, USA.
University of Nevada, Reno · US

Funding

HKLE-seq: an enrichment method for unbiased amplification and next-generation sequencing of all HERV-K and SVA (HKLE) insertion breakpoints genome-wide in human DNA samplesR15GM126562 · NIGMS · UNIVERSITY OF NEVADA RENO · PI RYU, SO YOUNG · 2018 to 2018
$430k
NIGMS NIH HHS R15 GM126562
6 · The paper itself

Abstract

MetaMSD is a proteomic software that integrates multiple quantitative mass spectrometry data analysis results using statistical summary combination approaches. By utilizing this software, scientists can combine results from their pilot and main studies to maximize their biomarker discovery while effectively controlling false discovery rates. It also works for combining proteomic datasets generated by different labeling techniques and/or different types of mass spectrometry instruments. With these advantages, MetaMSD enables biological researchers to explore various proteomic datasets in public repositories to discover new biomarkers and generate interesting hypotheses for future studies. In this protocol, we provide a step-by-step procedure on how to install and perform a meta-analysis for quantitative proteomics using MetaMSD.

Indexed as

ProteomicsSoftwareBiomarkersMass SpectrometryBiomarkersIntegrating multiple differential analysesMass spectrometry data analysisMeta-analysisProteomic softwareQuantitative proteomics

Identifiers

PMID36308697
OpenAlexW4307840278

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.