2020

Improving Representations of Genomic Sequence Motifs in Convolutional Networks with Exponential Activations
PK Koo, M Ploenzke
bioRxiv (Preprint)

Deep Learning for Inferring Transcription Factor Binding Sites
PK Koo, M Ploenzke
Current Opinion in Systems Biology (Review)

ZBED2 is an antagonist of interferon regulatory factor1 and modifies cell identity in pancreatic cancer
TD Somerville, Y Xu, XS Wu, D Maia-Silva, SK Hur, LMN de Almeida, JB Preall, PK Koo, CR Vakoc
Proceedings of the National Academy of Sciences (Article)

N-WASP Regulates the Mobility of the B Cell Receptor and Co-Receptors During Signaling Activation
I Rey-Suarez, B Wheatley, PK Koo, Z Shu, S Mochrie, W Song, H Shroff, A Upadhyaya
Nature Communications (Article)

2019

Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks
PK Koo, SR Eddy
PLOS Computational Biology (Article, Code)

Interpreting Deep Neural Networks Beyond Local Attribution Methods: Quantifying Global Importance of Features
PK Koo*, M Ploenzke*
Machine Learning in Computational Biology Meeting, 2019 (Extended abstract)

Improving Convolutional Network Interpretability with Exponential Activations
PK Koo*, M Ploenzke*
ICML 2019 Workshop for Computational Biology (Workshop abstract, Code)

Robust Neural Networks are More Interpretable for Genomics
PK Koo, S Qian, G Kaplun, V Volf, D Kalimeris
ICML 2019 Workshop for Computational Biology (Workshop abstract, Code)

Unified framework for modeling multivariate distributions in biological sequences
J Dauparas, H Wang, A Swartz, PK Koo, M Nitzan, S Ovchinnikov
ICML 2019 Workshop for Computational Biology (Workshop abstract, Code)

A Demonstration of Unsupervised Machine Learning in Species Delimitation
S Derkarabetian, S Castillo, PK Koo, S Ovchinnikov, M Hedin
Molecular Phylogenetics and Evolution 139, 106562 (Article)


2018

Inferring Sequence-Structure Preferences of RNA-Binding Proteins with Convolutional Residual Networks
PK Koo, P Anand, SB Paul, SR Eddy
bioRxiv, 418459 (Preprint)

Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks
PK Koo, SR Eddy
bioRxiv, 362756 (Preprint, Code)

Applying Perturbation Expectation-Maximization to Protein Trajectories of Rho GTPases
PK Koo, SR Eddy
Rho GTPases, 57-70 (Chapter, Code)


2017

Inferring Functional Neural Connectivity With Deep Residual Convolutional Networks
TW Dunn, PK Koo
bioRxiv, 141010 (Preprint, Code)


2016

Systems-level Approach to Uncovering Diffusive States and Their Transitions from Single-Particle Trajectories
PK Koo, SGJ Mochrie
Phsical Review E 94 (5), 052412 (Article, Code)

Improved Determination of Subnuclear Position Enabled by Three-Dimensional Membrane Reconstruction
Y Zhao, SM Schreiner, PK Koo, P Colombi, MC King, SGJ Mochrie
Biophysical Journal 111 (1), 19-24 (Article, Code)


2015

The Tethering of Chromatin to the Nuclear Envelope Supports Nuclear Mechanics
SM Schreiner*, PK Koo*, Y Zhao, SGJ Mochrie, MC King
Nature Communications 6, 7159 (Article)

Extracting Diffusive States of Rho GTPase in Live Cells: Towards In Vivo Biochemistry
PK Koo*, M Weitzman*, CR Sabanaygam, KL van Golen, SGJ Mochrie
PLOS Comptuational Biology 11 (10), e1004297 (Article, Code)
* Shared co-first author

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