hepatocellular-carcinoma

There are 10 repositories under hepatocellular-carcinoma topic.

  • Bugss05/IACD_Predicting_Hepatocellular_Carcinoma_through_SML

    Predicting Hepatocellular Carcinoma through Supervised Machine Learning

    Language:HTML3202

  • ThierryMondeel/HCC_flux_balance_analysis

    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

    Language:Jupyter Notebook2101

  • ChangfaXia/HCCScreen

    Data analysis for HCC screening study.

    Language:R1100

  • Trailblazer29/HCC-Survival

    A classifier written in R which predicts whether a patient, diagnosed with "Hepatocellular Carcinoma", is likely to live or die within a year

    Language:R1200

  • Alexperezm/HCC_lncRNA

    Desarrollo de modelos de predicción para estratificar pacientes de Hepatocarcinoma basados en el análisis de transcriptomas no codificantes.

    Language:Jupyter Notebook0100

  • AmyL19/DriverFinder

    0000

  • d-wdj/BB2491

    [KTH/HT17] BB2491 - Analysis of Data from High-throughput Molecular Biology Experiments (BigData) | Diary: cf. wiki

    Language:Python0100

  • jmnolte/HCCNet

    Early prediction of liver cancer development using longitudinal MRI

    Language:Python0300

  • jlifferth/HCC_analysis

    Research project to track movement of Hepatoceullar Carcinoma cells.

    Language:Jupyter Notebook10

  • Preciousejiba/Identification-of-Biomarkers-for-Early-Stage-Hepatocellular-Carcinoma

    "Identification of Biomarkers for Early-Stage Hepatocellular Carcinoma (HCC)" aims to address the critical global challenge of late-stage cancer diagnosis, which significantly lowers patient survival rates. It explores microarray gene expression datasets from GEO to identify potential early-stage biomarkers for improved patient outcomes.

    Language:Jupyter Notebook10