Enhance the rigor of metacell partitioning in your single-cell data analysis. Jingyi Jessica Li and Pan Liu introduce mcRigor, a statistical framework designed to address the lack of consistency in existing metacell construction methods.
Towards Data Science
Internet Publishing
San Francisco, California 644,211 followers
Publish insights on the world-leading AI, ML & data-science platform and reach data professionals worldwide.
About us
Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward. Contributors receive editorial guidance, best-in-class publishing tools and prominent placement on our site, newsletter and social feeds. Accepted articles are eligible for the TDS Author Payment Program, which compensates writers based on reader engagement. If you have an idea worth sharing, submit your draft, join the conversation and connect with a global audience of data professionals. Insight Partners is an investor in Towards Data Science.
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http://towardsdatascience.com
External link for Towards Data Science
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- Internet Publishing
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- San Francisco, California
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- Privately Held
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- Data Science, Machine Learning, Artificial Intelligence, Data Visualization, Data, Data Engineering, AI Agents, Software Development, DevOps, Programming, Technology, and Digital Publishing
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Updates
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Is there a better way to handle multi-class zero-shot classification? Doster Esh argues for pairwise comparisons over standard methods.
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Examine the pros and cons of Streamlit and Chainlit by building end-to-end demo chatbot applications. Read Chinmay Kakatkar's full article for the results and recommendations.
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ICYMI: Tom Reid's introduction to the powerful concept of property-based testing and its implementation in Hypothesis. Go beyond simple functions and learn how to test complex data structures and stateful classes.
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Meet Ibrahim Salami! 👋 Our new author has kicked off his contribution with a stellar, beginner-friendly series of NumPy tutorials. If you're looking to master the foundational library for data science in Python, start here. Submit your own article today: https://lnkd.in/gw8MqkPb
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Improve your interactions with AI by understanding its design. Udayan Kanade's debut TDS article teaches you why it's better to start a new chat than to argue with an LLM that's making errors.
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To help engineers choose the right model for their robotics projects, Mauro Di Pietro's latest article provides a practical comparison of RL algorithms. Read the full article free now.
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That sinking feeling when you find a bug and have to fix it in every single one of your notebooks. In this new article, Ibrahim Habib explains how a modular codebase can prevent this headache.