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  • Phoenixville, PA
  • 17:34 (UTC -05:00)

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michaelSkaro/README.md
  • 👋 Hi, I’m @michaelSkaro
  • 👀 I’m interested in understanding cloud based bioinformatics. I have primarily worked on HPCs for past 8 years. I will be transitioning to primarily working in the cloud, this will present new challenges and opportunities for persoanl growth.
  • 🌱 I’m currently learning Spatial-omics and implmenting massively paralleled Nextflow pipelines. A short term goal will be re-implement familiar workflows in a new domain specific language, containerize and deploy them on a kubernetes. Possible Youtube tutorial incoming 👀 ?
  • 💞️ I’ve finished up loose ends projects for 2023 and will be limiting side projects in 2024. My inbox is always open but I will have limited time this year.
  • 📫 How to reach me: I am available by email. [email protected] or check out my linked in and shoot me a message.

Pinned Loading

  1. Classification_of_organotropic_metastases Classification_of_organotropic_metastases Public

    Classification of organotropic metastases # Check out the wiki for model details # Check out the README for install

    R 1

  2. image_classification image_classification Public

    Python 1

  3. Neurospora_crassa_transcriptomics Neurospora_crassa_transcriptomics Public

    Characterizing the gene-environment interaction underlying natural morphological variation in Neurospora crassa conidiophores using high-throughput phenomics and transcriptomics

    MATLAB 1

  4. sparce sparce Public

    A software resource to split a genomics, methylomics or trasncriptomics file into bins and select features within the bins using recursive feature elimination and machine learning

    Python 4 1

  5. metNet metNet Public

    metNet is a deep learning model to classify the primary tumor of origin from cancers of unknown primary. This model is based on selected features from illumina 450k array data. The model can be app…

    Python