Predicting Hepatocellular Carcinoma through Supervised Machine Learning
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Updated
May 23, 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.
Research project to track movement of Hepatoceullar Carcinoma cells.
[KTH/HT17] BB2491 - Analysis of Data from High-throughput Molecular Biology Experiments (BigData) | Diary: cf. wiki
Early prediction of liver cancer development using longitudinal MRI
Desarrollo de modelos de predicción para estratificar pacientes de Hepatocarcinoma basados en el análisis de transcriptomas no codificantes.
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