Article

A flexible framework for minimal biomarker signature discovery from clinical omics studies without library size normalisation

2024-07-03

Abstract excerpt

Application of transcriptomics, proteomics and metabolomics technologies to clinical cohorts has uncovered a variety of signatures for predicting disease. Many of these signatures require the full ‘omics data for evaluation on unseen samples, either explicitly or implicitly through library size normalisation. Translation to low-cost point-of-care tests requires development of signatures which measure as few analyt...

Topics

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

Identifiers and source

Literature Corpus work: 6ff504cf-6f16-5907-8041-f44bfb45fbf0
DOI: 10.1101/2024.07.03.601811

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A flexible framework for minimal biomarker signature discovery from clinical omics studies without library size normalisationDOI 10.1101/2024.07.03.601811Read

OmicSelector: automatic feature selection and deep learning modeling for omic experimentsSemantic proximity Read

A Benchmarking Study of Feature Screening Approaches Across Omics Classification SettingsSemantic proximity Read

Adaptive Sparse Multi-Block PLS Discriminant Analysis: An Integrative Method for Identifying Key Biomarkers from Multi-Omics Data.Semantic proximity Read

FSOL - a workflow for the detection of patient subgroups and affected molecular features in high-throughput omics dataSemantic proximity Read

Streamlining Phenotype Classification and Highlighting Feature Candidates: A Screening Method for Non-Targeted Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS) Data.Semantic proximity Read

Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical dataSemantic proximity Read

Evaluation of classifier performance for multiclass phenotype discrimination in untargeted metabolomicsSemantic proximity Read

Efficient feature selection on gene expression data: Which algorithm to use?Semantic proximity Read

Data-adaptive pipeline for filtering and normalizing metabolomics dataSemantic proximity Read

Targeting the untargeted in molecular phenomics with structurally-selective ion mobility-mass spectrometry.Semantic proximity Read

Probabilistic quotient’s work & pharmacokinetics’ contribution: countering size effect in metabolic time series measurementsSemantic proximity Read

Transparent exploration of machine learning for biomarker discovery from proteomics and omics dataSemantic proximity Read