Computational pipeline for multiplexed analysis of tumors.
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Updated
Sep 12, 2021 - Jupyter Notebook
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.
☕ 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
Numerically solving the dynamical equations of a protein expression system
Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.
Esophageal Cancer Protein Expression Explorer
Local web app for ensemble dry-lab predictions (protein expression, strain titer, bioproduction curves).
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.
All the R scripts I used during my time as a grad student at Clemson University
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