Evidence map›Paper›PMID 36414245›Full record

ArticleJournal of proteome research2023

MZA: A Data Conversion Tool to Facilitate Software Development and Artificial Intelligence Research in Multidimensional Mass Spectrometry.

Aivett Bilbao, Dylan H Ross, Joon-Yong Lee, Micah T Donor, Sarah M Williams, Ying Zhu, Yehia M Ibrahim, Richard D Smith, Xueyun Zheng

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Computational Tools for LC-IMS-MS Data Processing in Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

9 authors at 1 institution in 1 country.

Aivett BilbaoPacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-2985-8249
Dylan H RossPacific Northwest National Laboratory, Richland, Washington 99352, United States.
Joon-Yong LeePacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-5864-8518
Micah T DonorPacific Northwest National Laboratory, Richland, Washington 99352, United States.
Sarah M WilliamsPacific Northwest National Laboratory, Richland, Washington 99352, United States.
Ying ZhuPacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-5416-0566
Yehia M IbrahimPacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0001-6085-193X
Richard D SmithPacific Northwest National Laboratory, Richland, Washington 99352, United States.
Xueyun ZhengPacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0001-9782-4521
Pacific Northwest National Laboratory · US

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Modern mass spectrometry-based workflows employing hybrid instrumentation and orthogonal separations collect multidimensional data, potentially allowing deeper understanding in omics studies through adoption of artificial intelligence methods. However, the large volume of these rich spectra challenges existing data storage and access technologies, therefore precluding informatics advancements. We present MZA (pronounced

Indexed as

Artificial IntelligenceSoftwareInformation Storage and RetrievalMass SpectrometryProgramming Languagesdata conversiondata-independent acquisitionion mobility spectrometrymass spectrometryopen data format

Identifiers

PMID36414245
PMCPMC9898216
OpenAlexW4309674080

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.