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Updated: Aug 1, 2025

A Web Tool for Generating High Quality Machine-readable Biological Pathways
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A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

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From pipelines to pathways in the study of academic progress

René F Kizilcec1, Rachel B Baker2, Elizabeth Bruch3

  • 1Department of Information Science, Cornell University, Ithaca, NY, USA.

Science (New York, N.Y.)
|April 27, 2023
PubMed
Summary

New student analytics offer valuable insights for both learners and educational administrators. These data-driven tools enhance decision-making and improve the overall educational experience for everyone involved.

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