Single-cell RNA-Sequencing provides transcriptional profiling of thousands of individual cells, and transcriptional profiling is the process of identifying a rare disease condition, ways to diagnose, and check whether the body responds to treatment.
Krittika Kanjilal, in her blog, proposed a solution for single-cell RNA analysis using Intel® AI Analytics Toolkit (AI Kit) and Intel® Extension for Scikit-learn*. Single-cell RNA-Sequencing allows us to study gene expression and mutation in rare diseases. The main idea behind this project is to help researchers, biologists, and clinicians identify and classify cancerous and non-cancerous cells in single-cell RNA sequencing data accurately. This is an important task in cancer research and diagnosis.
The blog explains the various steps involved in the project:
- Installation of required libraries
- Data Preprocessing
- Model Training
- Model Testing
- Deploy the model using Streamlit
Read more about the project on Medium and GitHub.
Learn more about Intel Extension for Scikit-learn!!!
Intel Extension for Scikit-learn: This Intel Extension seamlessly speeds up your scikit-learn applications for Intel architectures across single and multi-node configurations. Also, this extension package dynamically patches scikit-learn estimators while improving performance for your machine learning algorithms. Using Scikit-learn with this extension, the performance for training and inference can be improved up to 100x with the equivalent mathematical accuracy.
Download Intel Extension for Scikit-learn as part of the Intel® AI Analytics Toolkit (AI Kit).
What’s Next?
We encourage you to check out and incorporate Intel’s other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel’s AI Software Portfolio to help you prepare, build, deploy, and scale your AI solutions.
For more details about the new 4th Gen Intel® Xeon® Scalable processors, visit Intel's AI Solution Platform portal where you can learn how Intel is empowering developers to run end-to-end AI pipelines on these powerful CPUs.
About the Author:
Krittika Kanjilal is currently working as a Developer and Designer at GMS, India.
Product Marketing Engineer bringing cutting edge AI/ML solutions and tools from Intel to developers.