Article

Multi-Algorithm Machine Learning Benchmarking for Pan-Cancer Classification from Tumour-Educated Platelet RNA Sequencing

2026-05-26

Abstract excerpt

Tumour-educated platelets (TEPs) carry cancer-type-specific RNA signatures accessible through whole-blood RNA sequencing, but systematic multi-algorithm benchmarking with quantified statistical uncertainty had not been applied to the GSE68086 dataset, the field’s primary reference cohort. We applied an end-to-end transcriptomic and machine learning framework to 280 whole-blood platelet RNA-seq samples from six can...

Topics

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

Identifiers and source

Literature Corpus work: 43d17044-7ecc-5e5d-ac23-6f20f0bc501e
DOI: 10.64898/2026.05.22.727079

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-Algorithm Machine Learning Benchmarking for Pan-Cancer Classification from Tumour-Educated Platelet RNA SequencingDOI 10.64898/2026.05.22.727079Read

RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics.Semantic proximity Read

RNABag: A Generalizable Transcriptome Foundation Model for Precision Oncology across Biopsy ModalitiesSemantic proximity Read

Identification of Potential Tumor-educated Platelets RNA Biomarkers for Pan Cancer Detection and StagingSemantic proximity Read

Machine learning for pan-cancer classification based on RNA sequencing dataSemantic proximity Read

Patient-specific alterations in blood plasma cfRNA profiles enable accurate classification of cancer patients and controlsSemantic proximity Read

Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification studySemantic proximity Read

Deep Learning Improves Pancreatic Cancer Diagnosis Using RNA-Based VariantsSemantic proximity Read

Benchmarking bioinformatics approaches for tumour mutational burden evaluation from a large cancer panel against whole-exome sequencing.Semantic proximity Read

Toward Best Practice in Identifying Subtle Differential Expression with RNA-seq: A Real-World Multi-Center Benchmarking Study Using Quartet and MAQC Reference MaterialsSemantic proximity Read

Blood-based transcriptomic classification of lung cancer: a leakage-free nested cross-validation framework with LASSOSemantic proximity Read

Toward Best Practice in Identifying Subtle Differential Expression with RNA-seq: A Real-World Multi-Center Benchmarking Study Using Quartet and MAQC Reference MaterialsSemantic proximity Read

Comprehensive Benchmarking and Integration of Tumour Microenvironment Cell Estimation MethodsSemantic proximity Read