Stars
Interface for AutoDock, molecule parameterization
Vina-CUDA: further accelerating Autodock Vina with in-depth utilization of GPU hardware characteristics
shiny app to explore various prostate cancer datasets
R/MATLAB package to perform virtual knockout experiments on single-cell gene regulatory networks.
Repo for TCMChat: A Generative Large Language Model for Traditional Chinese Medicine
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/1…
Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that do not yet have high-quality 3D structures available.
Analysis of Chinese Prostate Can-cer Genome and Epigenome Atlas (CPGEA)
The authors are still wrapping up the code space. More updates will come soon!
Source code and datasets for PresRecRF published on Phytomedicine.
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images int…
Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
A pipeline for identifying indel derived neoantigens using RNA-Seq data
The Spatial Splicing-derived Neoantigen Identifier Pipeline (SSNIP) allows for the precise characterization of neoantigens derived from cancer-specific splicing events (neojunctions). The code avai…
Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning
Vina-GPU 2.1, an improved docking toolkit for faster speed and higher accuracy on the virtual screening
A heterogeneous OpenCL implementation of QuickVina2
Natural Language Processing Tutorial for Deep Learning Researchers