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  1. Linear-Deep-Learning-Latent-Representation-for-iOligo-lineage-scRNAseq- Linear-Deep-Learning-Latent-Representation-for-iOligo-lineage-scRNAseq- Public

    Leveraging the power of LD variational autoencoders to identify latent representations as dim red embeddings of sc data

    Jupyter Notebook

  2. Pseudotime-downstream-by-ML Pseudotime-downstream-by-ML Public

    This script utilizes Monocle3 for inferring pseudotime and employs gradient boosting machine learning (xgboost) to identify genes predictive of pseudotime. Subsequently, it fits a regression model …

    R

  3. sc-informed-PRS-analysis sc-informed-PRS-analysis Public

    single cell informed polygenic risk scoring in Parkinson's disease

    R

  4. scPseudobulk-analysis- scPseudobulk-analysis- Public

    Automated pipeline for psuedobulk analysis and downstream unsupervised analysis based on seurat v5

    R

  5. scRNAseq_iOligo- scRNAseq_iOligo- Public

    Forked from nnkarma12/scRNAseq_iOligo

  6. Tensorflow-VAE-multimodal-test Tensorflow-VAE-multimodal-test Public

    A Tensorflow-based multimodal baseline VAE model with a supervised classifier component to test on some small synthetic data incl. scRNAseq (trx read-by-cell), scATACseq (peak-by-cell) and Imaging …

    Jupyter Notebook