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High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Large language modeling applied to T-cell receptor (TCR) sequences.
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…
code used for article - Comparison of Scanpy-based algorithms to remove the batch effect of single-cell RNA-seq data
Single-cell Transcriptome and Regulome Analysis Pipeline
insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis method that aids interpretation of large-scale gene express…
PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines
This repository contains all code used for the Human Lung Cell Atlas project.
Deep-Learning framework for multi-omic and survival data integration
R scripts and data related to the manuscript "Co-regulation map of the human proteome enables identification of protein functions" by Kustatscher et al (https://www.nature.com/articles/s41587-019-0…
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
Generative pretraining on rankings of top-expressing genes