Predicting Hepatocellular Carcinoma through Supervised Machine Learning
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Updated
Jul 26, 2024 - HTML
Predicting Hepatocellular Carcinoma through Supervised Machine Learning
Simultaneous Integration of Gene Expression and Nutrient Availability for Studying the Metabolism of Hepatocellular Carcinoma Cell Lines | Ewelina Węglarz-Tomczak, Thierry D.G.A. Mondeel, Diewertje G.E. Piebes, Hans V. Westerhoff | Biomolecules 2021
A classifier written in R which predicts whether a patient, diagnosed with "Hepatocellular Carcinoma", is likely to live or die within a year
Data analysis for HCC screening study.
[KTH/HT17] BB2491 - Analysis of Data from High-throughput Molecular Biology Experiments (BigData) | Diary: cf. wiki
Research project to track movement of Hepatoceullar Carcinoma cells.
Desarrollo de modelos de predicción para estratificar pacientes de Hepatocarcinoma basados en el análisis de transcriptomas no codificantes.
Early prediction of liver cancer development using longitudinal MRI
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