Repository Index

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

• variant-calling
• genomics
• vcf-manipulation
• genotyping

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

BulkFormer: A large-scale foundation model for human bulk transcriptomes

DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.