ReviewAnalytical and bioanalytical chemistry2022
Data analysis methods for defining biomarkers from omics data.
Review in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- Plasma proteomics for Parkinson's disease classification: cross-cohort benchmarking of proteomic, transcriptomic, and multimodal models.NPJ Parkinson's disease · 2026Article
- Review
- Multi-omics strategies for biomarker discovery and application in personalized oncology.Molecular biomedicine · 2025Review
- Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.Frontiers in immunology · 2025Article
- Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection.Briefings in bioinformatics · 2024Article
- AI-Assisted Identification of Primary and Secondary Metabolomic Markers for Postoperative Delirium.International journal of molecular sciences · 2024Article
- A cloud-based learning module for biomarker discovery.Briefings in bioinformatics · 2024Article
- Efficient preparation of high-purity and intact mesenchymal stem cell-derived extracellular vesicles.Analytical and bioanalytical chemistry · 2024Article
- Genomic data integration tutorial, a plant case study.BMC genomics · 2024Article
- Evaluating 3D-printed bioseparation structures using multi-length scale tomography.Analytical and bioanalytical chemistry · 2023Article
- Precision Medicine Approaches with Metabolomics and Artificial Intelligence.International journal of molecular sciences · 2022Review
- NMR Characterization of Lignans.Molecules (Basel, Switzerland) · 2022Review
- Micelle to cyclodextrin stacking in open-tubular liquid chromatography using capillaries coated with surfactant admicelles.Analytical and bioanalytical chemistry · 2022Article
- Diagnostic Performance of Sex-Specific Modified Metabolite Patterns in Urine for Screening of Prediabetes.Frontiers in endocrinology · 2022Article
- Applications of Omics Technology for Livestock Selection and Improvement.Frontiers in genetics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Omics mainly includes genomics, epigenomics, transcriptomics, proteomics and metabolomics. The rapid development of omics technology has opened up new ways to study disease diagnosis and prognosis and to define prospective information of complex diseases. Since omics data are usually large and complex, the method used to analyze the data and to define important information is crucial in omics study. In this review, we focus on advances in biomarker discovery methods based on omics data in the last decade, and categorize them as individual feature analysis, combinatorial feature analysis and network analysis. We also discuss the challenges and perspectives in this field.
Indexed as
Identifiers
34951658What OpenQuestion holds
Registered trials
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.