CAPE: Covariance Alignment for Population Embedding in Single-cell Studies
A sample-level embedding framework for comparing patients in single-cell cohort studies.
A sample-level embedding framework for comparing patients in single-cell cohort studies.
An AI-first menu translator combining OCR, agentic RAG, and reflection modules for cultural grounding.
Interactive visualization platform merging transcriptomic data with pathology metrics for oncology research.
Fine-tuning and benchmarking transformer models for large-scale social media moderation.
Deep generative model for antimicrobial peptide sequence generation using RL and GANs.
Investigating perineural invasion in pancreatic ductal adenocarcinoma using spatial deconvolution.