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."
Implementation code of the paper: Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma.
Analysis code for compartmental dual-gene in silico knockout and a 14-gene event-free survival score in osteosarcoma (companion code to the manuscript submitted to Journal of Bone Oncology).
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.
This GitHub repository contains all the analysis code used in, "Characterization of canine tumor-infiltrating leukocyte transcriptomic signatures reveals conserved expression patterns with human osteosarcoma."
Human-in-the-loop osteosarcoma pathology AI review platform for education and research.
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