- 👀 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 [email protected]
🎯
Focusing
Building methods and tools for PhD Bioinformatics🧬 & AI 🤖 @theLongLab
I develop web, mobile, software & data platforms at @Nomatechnology
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Lucy DNA | Noma Integrated Technology Solutions
- Canada
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09:46
(UTC -07:00) - nomatechnology.com
- https://orcid.org/0000-0001-7300-8474
- @davidenoma_
Highlights
- Pro
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R-Language-scripts
R-Language-scripts PublicComprehensive 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
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xMLGenoRisk
xMLGenoRisk PublicMachine 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…
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collaborativebioinformatics/Disease_subsetting
collaborativebioinformatics/Disease_subsetting PublicColorectal cancer CMs subtyping and personalized medication recommendation based on RNA seq pathway analysis
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