Matplotlib mice tumor analysis of drug effectiveness for cancer research.

A Markov Decision Process with large number of states and its solvers (value iteration, policy iteration and Q-learning)

SPACEmapX

Contains code related to my multi-omics integration project at WEHI.

"BioSignaLen," a computational tool designed for the rapid identification of response variations across different conditions in large datasets, hence enhancing the understanding of computational analysis outcomes and suitable for various computational studies.

"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.

The code used to solve a Bio-Mechanical system of PDEs built for cancer modeling

Cancer estimation based on nucleosomes: Analysis of proportion of circulating tumor DNA fragments compared to nucleosome references.

Mutation Detection in Lung Cancer Cell Lines using CNNs

Analysis package for 96 well viability analyses

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.

Models built with TensorFlow Pattern Recognition

This repository contains text files with information and links corresponding to QR codes featured in my poster. Each QR code directs viewers to detailed content, references, or supplementary materials related to the topics covered in the poster.

Dissertation on Cancer Detection [Prostate Cancer] Research and Study

MarkerPredict is a project to identify intrinsically disordered proteins as biomarkers of targeted cancer therapies with the use of network topology and motif identification. We created machine learning models using the Random Forest and XGBoost algorhythms that are able to predict new biomarkers based on biological annotation and topological data.

Researcher may manipulate their own cancer data via this open source platform.

Research Poster and Report from a breast cancer research study for which I contributed to as part of an internship at BMCC.

Single-cell RNA-seq analysis of breast cancer tumor microenvironment - Computational Biology PhD Portfolio Project

scRNASeq drug discovery and biomarker project