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Fine-mapping pipeline for Open Targets Genetics
Awesome-LLM: a curated list of Large Language Model
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
Ultrafast TCR clustering algorithm based on geometric isometry
Highly specific clustering of T cell receptor CDR3s
CUT&RUN and CUT&Tag data processing and analysis
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SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Data of genome annotation from full-stack ChromHMM model trained with 1032 datasets from 127 reference epigenomes
Data visualization and Information Design with Python and R
Gene Set + S2G strategy annotations analyzed for disease architecture
An R package for creating and exploring word2vec and other word embedding models
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
This repository contains implementations and illustrative code to accompany DeepMind publications
Sequential regulatory activity predictions with deep convolutional neural networks.
R package with motifs for use with chromVAR
Proteomic Information Navigated Genomic Outlook (PRINGO) + Transposon Identification Nominative Genome Overview (TINGO).
Publication Page for Satpathy*, Granja* et al 2019
Easily download publicly available GWAS summary statistics.
Grammar of Scalable Linked Interactive Nucleotide Graphics