DL model to predict HLA peptide presentation
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Updated
Jan 31, 2024 - Jupyter Notebook
DL model to predict HLA peptide presentation
Shiny App allows streamlined analysis of multiple levels of proteomics data.
Processing, analysis and summary of immunopeptidomics experiment comparing clinical samples cut into chunks vs. digested with tissue digestion kit.
R Package - Faster Peptidomic Data Processing and Analysis
A PyQt6-based GUI application for venomic data analysis, spectral deconvolution, and statistical similarity indexing of neogastropod peptidomes. Uses a Sequential Analysis Pipeline (SAP)-structured, classical ML algorithm built with sklearn modules as its backend for the actual computational engine.
Use dask to process larger-than-memory peptidomic data, then perform multivariable regression
Differential diagnosis and visualisation of kidney diseases using supervised UMAP
Detecting single amino acids and small peptides by combining isobaric tags and peptidomics
This is a Snakemake pipeline for de novo sequencing and annotation of MS peptidomics data
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