Bioinformatics
Showing 13 of 157 projects
An open-source biomedical knowledge graph for drug discovery, precision medicine, and drug repurposing research.
A Python library for unsupervised learning of hidden semi-Markov models with explicit durations.
A GUI-based tool for training deep neural networks to segment biological images using corrective annotation.
A neural network model that integrates neighbor information from heterogeneous networks to discover new drug-target interactions.
An R package for 3D visualization and analysis of biological image data, especially single neuron tracings.
An R package for image processing and analysis with a focus on microscopy and biological imaging.
A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.
A curated collection of resources for applying machine learning to biomedical and healthcare imaging applications.
Interactive visual pattern search and exploration tool for epigenomic data using unsupervised deep representation learning.
A PyTorch deep generative model for integrating and imputing single-cell multimodal data with missing modalities.
A machine learning approach for rapid, pathologist-level cell type annotation from spatial proteomics data like MIBI and CODEX.
A large-scale foundation model pretrained on over 500,000 human bulk RNA-seq profiles for biomedical transcriptome analysis.
A multitask generative pre-trained language model for zero-shot cell type annotation, batch integration, and conditional cell generation in single-cell transcriptomics.
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