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1. PACA PACA Public

   Phenotype Aware Components Analysis is a contrastive learning approach leveraging CCA to robustly capture weak sources of subphenotypic variation to define de novo subtypes

   C++ 8

2. xgap xgap Public

   xGAP is an efficient, modular, extensible and fault-tolerant pipeline for massively parallelized genomic analysis/variant discovery from next-generation DNA sequencing data.

   Python 10 2

3. LDAscMulimodal LDAscMulimodal Public

   LDA for scMultimodal Data

   Jupyter Notebook 1

4. sriramlab/CACTI sriramlab/CACTI Public

   [ICML 2025 Spotlight] CACTI recycles missing value structure present in the data and unstructued feature context information to achieve SOTA imputation accuracy across various missingness conditionss

   Python 2 1