Evidence map›Paper›PMID 34902154›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Extract Metabolomic Information from Mass Spectrometry Images Using Advanced Data Analysis.

Xiang Tian, Zhu Zou, Zhibo Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Xiang Tian *Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.
Zhu Zou *Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.
Zhibo YangDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA. Zhibo.Yang@ou.edu.

Funding

From Single Cells to Tissues: a Novel Mass Spectrometry Approach for BioanalysisR01GM116116 · NIGMS · UNIVERSITY OF OKLAHOMA · PI YANG, ZHIBO · 2015 to 2019
$1.5M
NIGMS NIH HHS R01 GM116116
6 · The paper itself

Abstract

Mass spectrometry imaging (MSI) data generally contains large sizes and high-dimensional structures due to their inherent complex chemical and spatial information. A variety of data analysis methods have been developed to comprehensively analyze the MSI experimental results and extract essential information. Here, we describe the protocols of data preprocessing and emerging methods for data analyses, including multivariate analysis, machine learning, and image fusion, that have been applied to the data generated from the Single-probe MSI technique. These strategies and methods can be potentially applied to handling data produced from other MSI techniques.

Indexed as

Data AnalysisMetabolomicsMachine LearningMass SpectrometryPlant ExtractsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationPlant ExtractsImage fusionMachine learningMultivariate data analysisSingle-probe mass spectrometry imaging

Identifiers

PMID34902154

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.