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Updated: Nov 14, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
Semantic Changepoint Detection for Finding Potentially Novel Research Publications
Bhavish Dinakar1, Mayla R Boguslav, Carsten Görg
1Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA, bhavishdinakar@berkeley.edu.
Abstract:
How has the focus of research papers on a given disease changed over time? Identifying the papers at the cusps of change can help highlight the emergence of a new topic or a change in the direction of research. We present a generally applicable unsupervised approach to this question based on semantic changepoints within a given collection of research papers. We illustrate the approach by a range of examples based on a nascent corpus of literature on COVID-19 as well as subsets of papers from PubMed on the World Health Organization list of neglected tropical diseases. The software is freely available at: https://github.com/pdddinakar/SemanticChangepointDetection.
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