Noise Filtering and Prediction in Biological Signaling Networks. - David Hathcock; James Sheehy; Casey Weisenberger; Efe Ilker; Michael Hinczewski (IEEE Trans. Mol. Biol. Multi Scale Commun., 2016)

Thermodynamic Properties of Molecular Communication. - Andrew W. Eckford; Benjamin Kuznets-Speck; Michael Hinczewski; Peter J. Thomas 001 (ISIT, 2018)

Unraveling the mechanism of the cadherin-catenin-actin catch bond. - Shishir Adhikari; Jacob Moran; Christopher Weddle; Michael Hinczewski (PLoS Comput. Biol., 2018)

An introduction to using counterdiabatic driving to eliminate genetic lag in changing environments. - Emily L. Dolson; Shamreen Iram; Joshua Chiel; Julia Pelesko; Nikhil Krishnan; Özenç Güngör; Benjamin Kuznets-Speck; Sebastian Deffner; Efe Ilker; Jacob G. Scott; Michael Hinczewski (ALIFE, 2020)

Discerning the painter's hand: machine learning on surface topography. - Fang Ji; Michael S. McMaster; Samuel Schwab; Gundeep Singh; Lauryn Nicole Smith; Shishir Adhikari; Marcia O'Dwyer; Farah Sayed; Antony Ingrisano; Dean Yoder; Elizabeth S. Bolman; Ina T. Martin; et al. (CoRR, 2021)

Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin. - Niksa Praljak; Shamreen Iram; Utku Goreke; Gundeep Singh; Ailis Hill; Umut A. Gurkan; Michael Hinczewski (PLoS Comput. Biol., 2021)

Cheater suppression and stochastic clearance through quorum sensing. - Alexander S. Moffett; Peter J. Thomas 001; Michael Hinczewski; Andrew W. Eckford (PLoS Comput. Biol., 2022)

Machine learning in and out of equilibrium. - Shishir Adhikari; Alkan Kabakçioglu; Alexander Strang; Deniz Yuret; Michael Hinczewski (CoRR, 2023)

Diverse mutant selection windows shape spatial heterogeneity in evolving populations. - Eshan S. King; Dagim Shiferaw Tadele; Beck Pierce; Michael Hinczewski; Jacob G. Scott (PLoS Comput. Biol., 2024)

PATCH: a deep learning method to assess heterogeneity of artistic practice in historical paintings. - Andrew Van Horn; Lauryn Nicole Smith; Mahamad Mahmoud; Michael S. McMaster; Clara Pinchbeck; Ina T. Martin; Andrew Lininger; Antony Ingrisano; Adam Lowe; Carlos Bayod; Elizabeth S. Bolman; Kenneth D. Singer; et al. (CoRR, 2025)