SPLSN: An efficient tool for survival analysis and biomarker selection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22532
Abstract: In genome research, it is a fundamental issue to identify few but important survival‐related biomarkers. The Cox model is a widely used survival analysis technique, which is used to study the relationship between characteristics and… read more here.
Keywords: analysis; survival analysis; biomarker selection;
Biomarker selection and imaging design in cancer: A link with biochemical pathways for imminent engineering
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DOI: 10.1016/j.heliyon.2020.e03340
Abstract: Malignant cells reprogram metabolic pathways to meet the demands of growth and proliferation. These altered manners of metabolism are now identified as hallmarks of cancer. Studies have revealed tumor cells alter specific pathways such as… read more here.
Keywords: imaging design; selection imaging; biomarker selection; cancer link ... See more keywords
A novel biomarker selection method using multimodal neuroimaging data
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DOI: 10.1371/journal.pone.0289401
Abstract: Identifying biomarkers is essential to obtain the optimal therapeutic benefit while treating patients with late-life depression (LLD). We compare LLD patients with healthy controls (HC) using resting-state functional magnetic resonance and diffusion tensor imaging data… read more here.
Keywords: lld patients; selection method; using multimodal; method using ... See more keywords
Machine learning driven biomarker selection for medical diagnosis
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DOI: 10.48550/arxiv.2405.10345
Abstract: Recent advances in experimental methods have enabled researchers to collect data on thousands of analytes simultaneously. This has led to correlational studies that associated molecular measurements with diseases such as Alzheimer’s, Liver, and Gastric Cancer.… read more here.
Keywords: medical diagnosis; selection; machine learning; biomarker selection ... See more keywords