protein-expression

Computational pipeline for multiplexed analysis of tumors.

Differential Dependency Network

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.

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

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

☕ CAAPHA — Cancer Abundance-Aware Proteomic Heatmap Atlas

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

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

Numerically solving the dynamical equations of a protein expression system

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

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).