This GitHub repository contains all the analysis code used in, "Single-cell RNA sequencing reveals the cellular and molecular heterogeneity of treatment-naïve primary osteosarcoma in dogs."
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Updated
May 24, 2024 - Jupyter Notebook
This GitHub repository contains all the analysis code used in, "Single-cell RNA sequencing reveals the cellular and molecular heterogeneity of treatment-naïve primary osteosarcoma in dogs."
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma.
This code is used to calculate the differential genes of exosomes in the plasma of normal volunteers and osteosarcoma patients. The statistical method is DESeq2, and the results are presented using heat maps and volcanic maps.
Implementation code of the paper: Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach
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