Back to search

Article

omicsMIC: a Comprehensive Benchmarking Platform for Robust Comparison of Imputation Methods in Mass Spectrometry-based Omics Data

2023-09-15

Abstract excerpt

Mass spectrometry is a powerful and widely used tool for generating proteomics, lipidomics, and metabolomics profiles, which is pivotal for elucidating biological processes and identifying biomarkers. However, missing values in spectrometry-based omics data may pose a critical challenge for the comprehensive identification of biomarkers and elucidation of the biological processes underlying human complex disorders...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1bc7cea9-7be7-5cc3-84f2-4b1015c7b04a
DOI
10.1101/2023.09.12.557189
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
omicsMIC: a Comprehensive Benchmarking Platform for Robust Comparison of Imputation Methods in Mass Spectrometry-based Omics DataDOI 10.1101/2023.09.12.557189
OmicsPred as a centralised resource for genetic prediction of multi-omic traitsSemantic proximity
DreamAI: algorithm for the imputation of proteomics dataSemantic proximity
Practical aspects of imputation-driven meta-analysis of genome-wide association studies.Semantic proximity
LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transferSemantic proximity
NeTOIF: A Network-based Approach for Time-Series Omics Data Imputation and ForecastingSemantic proximity
ProteoForge: An Imputation-Aware Framework for Differential Proteoform Discovery in Bottom-Up ProteomicsSemantic proximity
Comparative Assessment and Outlook on Methods for Imputing Proteomics DataSemantic proximity
omicsPrint: detection of data linkage errors in multiple omics studies.Semantic proximity
A general framework for integrative analysis of incomplete multiomics data.Semantic proximity
Interpreting and integrating big data in the life sciencesSemantic proximity
Comparative evaluation of imputation and batch-effect correction for proteomics/peptidomics differential-expression analysisSemantic proximity
Transparent exploration of machine learning for biomarker discovery from proteomics and omics dataSemantic proximity
Select a neighboring publication to make it the new centre.