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url: https://www.borch.dev/uploads/deepMatchR
template:
bootstrap: 5
bootswatch: flatly
bslib:
primary: "#3288bd"
border-radius: 0.5rem
btn-border-radius: 0.25rem
home:
title: deepMatchR - Deep Learning Models for HLA Matching
description: >
Tools for HLA testing, matching, and immunogenicity analysis using
advanced statistical approaches and deep learning.
sidebar:
structure: [links, license, community, citation, authors, dev]
navbar:
structure:
left: [intro, reference, articles, tutorials, news]
right: [search, github]
components:
intro:
text: Get Started
href: articles/deepMatchR.html
articles:
text: Articles
menu:
- text: Overview
href: articles/index.html
- text: "---"
- text: "Core Workflows"
- text: Sequence & Mismatch Analysis
href: articles/sequence-analysis.html
- text: Eplet Analysis
href: articles/eplet-analysis.html
- text: Peptide Binding Prediction
href: articles/peptide-binding.html
- text: "---"
- text: "Visualization"
- text: Antibody Visualization
href: articles/antibody-visualization.html
github:
icon: fab fa-github
href: https://github.com/BorchLab/deepMatchR
aria-label: GitHub
reference:
- title: HLA Genotypes
desc: Create and work with HLA genotype objects
contents:
- hlaGeno
- validateHlaGeno
- print.hla_genotype
- title: Sequence Analysis
desc: Functions for retrieving and comparing HLA sequences
contents:
- getAlleleSequence
- quantifyMismatch
- calculateMismatchLoad
- getSequenceStats
- clearSequenceCache
- title: Eplet Analysis
desc: Functions for eplet-based immunogenicity analysis
contents:
- quantifyEpletMismatch
- calculateEpletLoad
- title: Peptide Binding Prediction
desc: Deep learning models for peptide-MHC binding prediction
contents:
- predictMHCnuggets
- calculatePeptideBindingLoad
- visualizePeptideBinding
- title: Serology Conversion
desc: Convert between molecular and serological HLA nomenclature
contents:
- toSerology
- updateWmdaData
- clearWmdaCache
- title: Antibody Visualization
desc: Visualize SAB and PRA assay results
contents:
- plotAntibodies
- plotEplets
- epletAUC
- calculateAUC
- title: Data
desc: Built-in datasets
contents:
- deepMatchR_example
- deepMatchR_cregs
- deepMatchR_eplets
- deepMatchR_wmda_pgroups
- deepMatchR_wmda_serology
- deepMatchR_wmda_splits
- starts_with("wmda_")
- starts_with("eplet_")
- title: Utilities
desc: Helper functions and internal utilities
contents:
- deepmatchrEnv
- batchGetSequences
articles:
- title: Getting Started
navbar: ~
contents:
- deepMatchR
- title: Core Workflows
desc: Detailed guides for specific analysis tasks
contents:
- sequence-analysis
- eplet-analysis
- peptide-binding
- title: Visualization
desc: Creating publication-quality figures
contents:
- antibody-visualization
footer:
structure:
left: developed_by
right: built_with
authors:
Nick Borcherding:
href: https://github.com/ncborcherding