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brainspan

cleft_dnv

Scripts for analyzing the public scRNA-seq data of mouse lip and de novo variants from Kids First Data

cnet

decs

deepface

Deep learning model for predicting craniofacial variants

deepfun

DeepFun model

deephtlv

Deep learning for predicting and elucidating human T-lymphotrophic virus 1 integration in the human genome

deepms

deeptr

Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning

dets

deTS

genevic

Genetic data Exploration and Visualization Intelligent Interactive Console

genevic_supplementary

Includes supplementary materials for the application "GENEVIIC"

hgsoc

Script for data analysis of single-cell HGSOC work

immuneapp

ImmuneApp for HLA-I epitope prediction and immunopeptidome analysis

jad

ms-multioimcs_bayesian_prioritization

msea

Detection and quantification of mutation hotspots through mutation set enrichment analysis (MSEA)

netbce

NetBCE Enables Accurate Prediction of Linear B-Cell Epitopes with Interpretable Deep Neural Network

netrnapan

Deciphering RNA modification and post-transcriptional regulation by deep learning framework

pgsrankrnnotatr

PgsRankRnnotatR is an R wrapper package designed to facilitate rank aggregation and annotation of variants, particularly in the context of polygenic scores from PGS Catalog

scare

scgwas

A method which leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes.

scupa

Scupa is an R package for immune cell polarization analysis of scRNA-seq data.

snmultiome_seoad

Single-nucleus multiomics reveals the disrupted regulatory programs in three brain regions in sporadic early-onset Alzheimer's disease

vaen

A deep generative neural network based approach to impute drug response

variantsubnetwork

To construct a subnetwork to link CVgenes and DNMgenes in a tissue-specific fashion