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adigorla (Aditya Gorla) · GitHub
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  1. PACA PACA Public

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

    C++ 5

  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