Bioinformatics
Showing 23 of 203 projects
A Julia toolkit for robust multidimensional profiling of high-content cellular imaging data.
Zsh shell completion scripts for bioinformatics command-line tools to enhance productivity.
An Igor Pro package for analyzing 2D cell migration data from manual tracking in ImageJ/FIJI.
A MATLAB-based deep learning platform for automated cell division tracking and replicative lifespan analysis from microscopy image sequences.
A bioinformatics code kata for practicing DNA-to-protein sequence transformation through test-driven development.
A web application for generating small ligand conformers for molecular docking using RDKit.
A Python package for analyzing high-throughput single-cell imaging data, including protein abundance, endocytosis, and particle tracking.
A deep learning model that predicts drug response by fusing multi-omics data with graph convolutional networks.
A MATLAB-based toolbox for interactive visualization and analysis of multiplexed image cytometry data.
Accelerated structure similarity searching for large small molecule datasets using embedding and indexing.
A header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping.
An R package for importing and visualizing bacterial microscopy segmentation and fluorescence data using ggplot2.
A Python library for analyzing mRNA and protein spatial and temporal distributions in single-cell confocal microscopy images.
A deep learning model for predicting cancer drug response using data enhancement and edge-collaborative update strategies.
A Common Lisp Jupyter widget for molecular visualization using NGL, providing interactive 3D structures in notebooks.
Interactive visualization of higher-order graphs in Python using proportion of degrees by communities.
A multi-channel neural network for predicting compound-protein interactions using molecular and protein sequence embeddings.
An R package for reading, writing, and visualizing medical imaging data in ANALYZE, NIfTI, and AFNI formats.
An Oh-My-Zsh plugin providing functions and aliases to simplify QIIME 2 workflows for microbiome data analysis.
A PyTorch library providing datasets, transformations, and pretrained models for biological cellular systems.
Attention-based GNN model for predicting drug sensitivity and explaining gene contributions using a drug-cell-gene heterogeneous network.
A PyTorch library providing datasets, transformations, and pretrained models for biological cellular systems.
A GNN-based deep learning model that performs drug-specific gene selection for improved drug response prediction.
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