Peter K. Koo

Orcid: 0000-0001-8722-0038

According to our database1, Peter K. Koo authored at least 10 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
EvoAug-TF: extending evolution-inspired data augmentations for genomic deep learning to TensorFlow.
Bioinform., March, 2024

2023
ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.
Comput. Methods Programs Biomed., September, 2023

Learning single-cell chromatin accessibility profiles using meta-analytic marker genes.
Briefings Bioinform., January, 2023

2022
Evaluating deep learning for predicting epigenomic profiles.
Nat. Mac. Intell., December, 2022

Evaluating histopathology transfer learning with ChampKit.
CoRR, 2022

Selecting deep neural networks that yield consistent attribution-based interpretations for genomics.
Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

2021
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks.
PLoS Comput. Biol., 2021

Improving representations of genomic sequence motifs in convolutional networks with exponential activations.
Nat. Mach. Intell., 2021

2019
Representation learning of genomic sequence motifs with convolutional neural networks.
PLoS Comput. Biol., 2019

2015
Extracting Diffusive States of Rho GTPase in Live Cells: Towards <i>In Vivo</i> Biochemistry.
PLoS Comput. Biol., 2015


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