CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Codes for paper: CVQVAE: A REPRESENTATION LEARNING METHOD FOR MULTI-OMICS SINGLE CELL DATA INTEGRATION
Adaptive Visualization for Single-cell RNA-seq
Utilize transfer learning to overcome limited available human data for cell cluster annotations
SG3_Isostream: A specialized single-cell long-read RNA-seq suite for isoform-level discovery. Featuring fuzzy-boundary read recovery, AnnData compatibility, and high-fidelity Sashimi visualization. Developed by Sumathi Genomics.
A high-performance Python package for single-cell genomics
Analyzed role of CD8 T cells in 13 different cancer types.
Topological Data Analysis Approach for Single Cell Genomics
A python-based chatbot using LLaMA 3.2 (3B) and Crew-AI agents for single-cell genome sequencing.
Next-generation Sequencing Dashboard using ReactJs and MongoDB
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