Science Research Weekly

Episode 34: Genomics, My Dear Watson

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In this episode, I dusted off my genomic gloves with the HCLC-FC and CLIMB methods, waxed poetic with Python’s latest alpha release, and solved plotting mysteries with R-package ‘sherlock’.


References:

  • Regression discontinuity threshold optimization
  • Explaining predictive factors in patient pathways using autoencoders
  • HCLC-FC: A novel statistical method for phenome-wide association studies
  • Uncertainty-aware mixed-variable machine learning for materials design
  • Closed-form continuous-time neural networks
  • New statistical method improves genomic analyzes
  • synr: Analyze stimulus-color consistency test data
  • Profile plots in SAS
  • Optimal linear profile plots in SAS
  • Python 3.12.0 alpha 2 released
  • What is Interactive Analytics?
  • Top 9 Highest Paying Programming Languages (2023)
  • How to Analyze Likert Scale Data?
  • Top 10 Data Visualisation Tools Every Data Science Enthusiast Must Know
  • Open source is a hard requirement for reproducibility


    • R-packages:

    • exactLTRE: An Exact Method for Life Table Response Experiment (LTRE) Analysis
    • sherlock: Graphical Displays to Aid Structured Problem Solving and Diagnosis
    • cipheR: Encryption and Decryption with Text Ciphers
    • rjtools: Preparing, Checking, and Submitting Articles to the 'R Journal'
    • commafree: Call Functions Without Commas Between Arguments
      • ...more
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      Science Research WeeklyBy Mark R Williamson