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@SML-CompBio

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iamspriyadarshi/README.md

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  1. SML-CompBio/OSCORP SML-CompBio/OSCORP Public

    OSCORP, an innovative machine learning-based digital cytometric approach, achieves nearly 99% accuracy in quantifying and identifying cancer stem cells (CSCs) from biopsy bulk RNAseq data.

    Jupyter Notebook 2

  2. SML-CompBio/KINDLIN-PANCAN SML-CompBio/KINDLIN-PANCAN Public

    The repository contains the source code used in the paper: "Pancancer Analyses Suggest Kindlin-associated Global Mechanochemical Perturbation"

    Jupyter Notebook