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Coarse-graining of large single-cell RNA-seq data into metacells
Bioinformatics pipeline for single-cell 3' UTR isoform quantification
Bootstrapping methods for 3' UTR analysis of scRNA-seq
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
Efficient Differential Expression and Gene Aggregation for CRISPR screens.
A flexible and fast sgRNA counter from FASTQ Files
Demultiplexing cell/nucleus hashing data for single-cell genomics
hypergeometric testing of guide RNA identity to assign cell barcodes to a guide identity
a python module for generate cell / guide matrices for demultiplex testing
bedtools-like functionality for interval sets in rust
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked systems.
C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
Contrastive Variational Autoencoders
Text and code for the second edition of Think Bayes, by Allen Downey.
A PyTorch Library for Multi-Task Learning
Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch