2-9 of 1,270,000 results
Open links in new tab
  1. RedLionfish – fast Richardson-Lucy Deconvolution package for ...

    Programmatically. Coding in Python makes RedLionfish easy to use programmatically as shown in the example files provided with the package, including Jupyter Notebooks 14 which are excellent for …

  2. Pytim: A python package for the interfacial analysis of ...

    Pytim is a versatile python framework for the analysis of interfacial properties in molecular simulations. The code implements several algorithms for the identification of instantaneous interfaces of arbitrary …

  3. EntropyHub: An open-source toolkit for entropic time series ...

    An increasing number of studies across many research fields from biomedical engineering to finance are employing measures of entropy to quantify the regularity, variability or randomness of time series …

  4. Slideflow: deep learning for digital histopathology with real ...

    Slideflow is a comprehensive Python package designed to bridge these gaps, delivering an end-to-end suite of user-friendly tools for building, testing, explaining, and deploying deep learning models for …

  5. A Practical Guide to Metabolomics Software Development - PMC

    A growing number of software tools have been developed for metabolomics data processing and analysis. Many new tools are contributed by metabolomics practitioners who have limited prior …

  6. Ten simple rules for working with other people’s code - PMC

    There are a wealth of resources addressing how to write better code in academia, including PLOS ONE “Ten Simple Rules” articles on reproducibility [2], documentation [3], and writing open-source …

  7. A Practical Guide to Metabolomics Software Development

    Feb 2, 2021 · A growing number of software tools have been developed for metabolomics data processing and analysis. Many new tools are contributed by metabolomics practitioners who have …

  8. Ten quick tips for harnessing the power of ChatGPT in ...

    ChatGPT can also help document functions by generating full roxygen2 syntax in R and docstrings in Python, inferring meaning from variable names and code logic. A sample prompt to start …