This repository contains the R code and data files for simulating a 1D chemokine gradient in heterogeneous tumors, aiming to replicate the observed T-cell distribution within tumors.
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Updated
Jun 16, 2025 - R
This repository contains the R code and data files for simulating a 1D chemokine gradient in heterogeneous tumors, aiming to replicate the observed T-cell distribution within tumors.
Set of standardized functions to operate with genomic data
Unraveling Socioeconomic Factors in the U.S. Cancer Incidence : A Linear Modeling Approach
This workshop is designed to provide beginners with foundational understanding of R programming language. Through a combination of theoretical explanations, hands-on coding exercises, and practical applications, participants will learn how to leverage R for data analysis, manipulation and visualization cancer biology datasets.
Creating a classifier for bladder cancer using Elastic Net Regression
Biostatistics internship on proteomics and cancer avoidance
一个开源脚本,简化TCGA(The Cancer Genome Atlas)数据的获取、解析与基因表达矩阵构建流程。通过R语言脚本实现从数据下载到矩阵合成的全自动化处理,帮助科研人员快速获取高质量的表达数据。
Supplementary R scripts for the manuscript "Disrupting PGE2/EP3 signaling in cancer-associated fibroblasts limits mammary carcinoma growth but promotes metastasis"
This workshop is designed to provide beginners with foundational understanding of R programming language. Through a combination of theoretical explanations, hands-on coding exercises, and practical applications, participants will learn how to leverage R for data analysis, manipulation and visualization cancer biology datasets.
DataPulse: Framework for Statistical and Exploratory Data Analysis
Project to study proliferation and metabolic liabilities across several thousand cancer samples.
Companion for the 2024 manuscript in BMC Cancer entitled "Neighborhood-Level Deprivation and Survival in Lung Cancer"
Two-parameter Bayesian logistic dose-escalation model to find the maximum tolerated dose (MTD) of HTL0039732 agent alone and in combination with a backbone agent in patients with solid tumours.
Collante V, Contreras-Gallardo F, Fuentes F, Fuentes J, Guerrero-Barría A, Guiñez-Sanhueza I, Inostroza C, Ojeda-Altamirano J, Navarrete J, Venegas-Carrasco C. Mortalidad por cáncer gástrico en la región del Biobío durante los años 2012 a 2022. Concepción: Universidad de Concepción; 2025.
Using Keras to build a deep neural network for bladder cancer progression
Cancer breakpoints hotspots prediction
Contains code related to my multi-omics integration project at WEHI.
Six machine learning models for predicting bladder cancer progression using Caret package
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