Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance. - Kevin K. Lin; Darya Chudova; G. Wesley Hatfield; Padhraic Smyth; Bogi Andersen (Proc. Natl. Acad. Sci. USA, 2004)

Entrainment and Chaos in a Pulse-Driven Hodgkin-Huxley Oscillator. - Kevin K. Lin (SIAM J. Appl. Dyn. Syst., 2006)

Including probe-level uncertainty in model-based gene expression clustering. - Xuejun Liu; Kevin K. Lin; Bogi Andersen; Magnus Rattray (BMC Bioinform., 2007)

Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. - Darya Chudova; Alexander Ihler; Kevin K. Lin; Bogi Andersen; Padhraic Smyth (Bioinform., 2009)

Spike-time reliability of layered neural oscillator networks. - Kevin K. Lin; Eric Shea-Brown; Lai-Sang Young (J. Comput. Neurosci., 2009)

Coupling control variates for Markov chain Monte Carlo. - Jonathan B. Goodman; Kevin K. Lin (J. Comput. Phys., 2009)

Reliability of Coupled Oscillators. - Kevin K. Lin; Eric Shea-Brown; Lai-Sang Young (J. Nonlinear Sci., 2009)

Estimating replicate time shifts using Gaussian process regression. - Qiang Liu 001; Kevin K. Lin; Bogi Andersen; Padhraic Smyth; Alexander Ihler (Bioinform., 2010)

Modeling temporal networks using random itineraries - Alain Barrat; Bastien Fernandez; Kevin K. Lin; Lai-Sang Young (CoRR, 2013)

Control Theory and Experimental Design in Diffusion Processes. - Giles Hooker; Kevin K. Lin; Bruce Rogers (SIAM/ASA J. Uncertain. Quantification, 2015)

Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems. - Guillaume Lajoie; Kevin K. Lin; Jean-Philippe Thivierge; Eric Shea-Brown (PLoS Comput. Biol., 2016)

Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism. - Kevin K. Lin; Fei Lu 016 (CoRR, 2019)

Conjunctive reward-place coding properties of dorsal distal CA1 hippocampus cells. - Zhuocheng Xiao; Kevin K. Lin; Jean-Marc Fellous (Biol. Cybern., 2020)

Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism. - Kevin K. Lin; Fei Lu 016 (J. Comput. Phys., 2021)

A data-informed mean-field approach to mapping of cortical parameter landscapes. - Zhuo-Cheng Xiao; Kevin K. Lin; Lai-Sang Young (PLoS Comput. Biol., 2021)

A comparison of probe geometries for neuronal localization. - Patrick Greene 003; Kevin K. Lin (EMBC, 2022)

Multilevel monte carlo for cortical circuit models. - Zhuo-Cheng Xiao; Kevin K. Lin (J. Comput. Neurosci., 2022)

Detection of latent brain states from spontaneous neural activity in the amygdala. - Alexa Aucoin; Kevin K. Lin; Katalin M. Gothard (PLoS Comput. Biol., 2025)