Wayne Boucher

Proteins: Structure, Function, and Bioinformatics · 2005–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Wayne Boucher trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Wes McKinney

Who trusts Wayne Boucher overall

  1. Jonathan J. Helmus

Papers from Wayne Boucher's perspective

Ordered by how strongly the researchers Wayne Boucher trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The NumPy Array: A Structure for Efficient Numerical Computation
  2. Data Structures for Statistical Computing in Python
  3. The CCPN data model for NMR spectroscopy: Development of a software pipeline (Proteins: Structure, Function, and Bioinformatics)
  4. Scikit-learn: Machine Learning in Python
  5. SciPy: Open Source Scientific Tools for Python
  6. Python: Batteries Included
  7. Result Analysis of the NIPS 2003 Feature Selection Challenge
  8. Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework
  9. The SciPy Documentation Project (Technical Overview)
  10. PyTorch: An Imperative Style, High-Performance Deep Learning Library

Their papers