Foundation Models for Genomics & Transcriptomics
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Spatial Single Cell Analysis in Python
Tools for computational pathology
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
Probabilistic cell segmentation for in situ spatial transcriptomics
Autonomous multi-agent framework to optimize scientific software
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
MCP server for spatial transcriptomics analysis through natural language interfaces.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics