Skip to content
View davidenoma's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Organizations

@theLongLab

Block or report davidenoma

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
davidenoma/README.md
  • 👀 I research Machine Learning, Artificial intelligence, Bioinformatics. This is applied to Genetics & Precision Medicine of Neuropsychiatric disorders, Cancers and Polygenic risk prediction.
  • 👨🏽‍💻 I write Python, R, Java, PHP, Bash, SQL, Javascript associated frameworks and libraries
  • 🚀 I build web, mobile, bioinformatics & data platforms and products.
  • 🌱 I’m currently learning Representation learning and Data engineering pipelines on cloud platforms.
  • 💞️ I want to collaborate and consult on machine learning, data science and bioinformatics projects.
  • 📫 How to reach me davidenoma@gmail.com

Pinned Loading

  1. rbam rbam Public

    Representation learning based genome-wide association mapping to identify genes and predict phenotypes in complex traits.

    Python 4

  2. moka moka Public

    MOKA Snakemake pipeline for GWAS incorporating user provided multi-omics data sources such as gene expression, neural network weights, transcription factor binding, and evolutionary conservation sc…

    R 8 3

  3. R-Language-scripts R-Language-scripts Public

    Comprehensive collection of scripts and pipelines in R for Bioinformatics & general use. Includes, R fundamentals, bayesian statistics, cancer genomics, data analysis, genomic analysis and targeted…

    R 9

  4. xMLGenoRisk xMLGenoRisk Public

    Machine Learning approach for genetic risk prediction. I applied a modified, XGBoost algorithm and an iterative SNP selection algorithm to find the top features (SNPs) that best predict the risk of…

    Jupyter Notebook 7 2

  5. collaborativebioinformatics/Disease_subsetting collaborativebioinformatics/Disease_subsetting Public

    Colorectal cancer CMs subtyping and personalized medication recommendation based on RNA seq pathway analysis

    Jupyter Notebook 9 2

  6. DL_cancer_drug_response DL_cancer_drug_response Public

    Predicting patient drug responses using gene expresions, drugs SMILES and advanced deep learning techniques

    Jupyter Notebook 4 1