Statistical Approaches to Omics Data: Searching for Biological Truth
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: closed (20 June 2025) | Viewed by 1472
Special Issue Editor
Special Issue Information
Dear Colleagues,
Omics approaches are very powerful tools for generating new knowledge about molecular processes, especially those from shotgun analyses. However, the information obtained must be reliable. To achieve this, it is essential to implement correct analyzes and statistical treatments for each stage of an omics workflow, without forgetting that the results must represent, in the best possible way, a biological reality. Thus, in addition to justifying one type of analysis or another (transcriptome based on reference vs. de novo, choice between quantification and sequence normalization methods, protein quantification methods, etc.), or performing a hypothesis contrast test or an alternative (t-test, ANOVA, Limma, DEqMS, negative binomial models, etc.), it is essential to know if the omics results fit those obtained through other methodologies within the context of functional validation. Additionally, differences between statistical and biological significance should be considered. For this Special Issue, we welcome works that compare different types of analysis and statistical treatments to elucidate which ones best fit with the “biological reality”, demonstrated through the implementation of other methodological approaches.
Dr. Alfonso Olaya Abril
Guest Editor
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Keywords
- omics
- statistics
- hypothesis contrast
- statistical confidence
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