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- foundation-model
- gpt
- single-cell
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ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Cloud-native genomic dataframes and batch computing
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
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A tool for cell instance aware segmentation in densely packed 3D volumetric images
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
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.
gateway for segmentation data to Rstats & visualization with ggplot2 - in development