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Integrative analysis of single-cell multiomics data using deep learning
In this tutorial, we have built an autoencoder-based deep learning model for dimensionality reduction and visualization of single-cell CITE-seq data. We demonstrate that the integrative analysis of both transcriptomic and proteomic data achieves superior resolution in distinguishing between various immune cell types.
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Docker for Data Scientists
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Deploying Your Data Science Code
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Strategies for making your data science code usable by non-data scientists
PyTorch for Natural Language Processing - Building a Fake News Classification Model
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6 Powerful Scalable Computing Platforms 2024 Edition
As data volumes grow, the demand for scalable computing tools also increases. Fortunately, the open source community has responded with …
Structured Vs Unstructured Data
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Setting up JupyterHub Securely on AWS
How to secure JupyterHub for your data science team