protein-expression

Computational pipeline for multiplexed analysis of tumors.

ExprCompareR is a R package that integrates RNA-seq and protein-expression data across human tissues to enable statistical comparison and visualization of transcript-protein relationships.

Differential Dependency Network

An open source predictive model of protein expression in yeast, written in Python.

☕ CAAPHA — Cancer Abundance-Aware Proteomic Heatmap Atlas

Deep learning approach for multiclass classification of mice based on cortical protein expression and experimental conditions in Python.

UC Berkeley MSSE Capstone Project: Evaluating & refining filtering strategies for de novo protein binders

Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.

Numerically solving the dynamical equations of a protein expression system

Agent skill to retrieve, analyze, and visualize Human Protein Atlas (HPA) data—featuring 3D subcellular organelle mapping, 10-system anatomical IHC heatmaps, RNA-to-protein concordance, cancer pathology profiling, and standalone HTML5 dashboards.

Unsupervised learning analysis of mice brain protein expression using PCA, SVD, UMAP and clustering algorithms (K-Means, DBSCAN, Agglomerative) with Silhouette-based model evaluation.

POP2 protein expression research companion app and project artifact — CURC Highest Honors.

Esophageal Cancer Protein Expression Explorer

Local web app for ensemble dry-lab predictions (protein expression, strain titer, bioproduction curves).

All the R scripts I used during my time as a grad student at Clemson University