First author

Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models
bioRxiv, 2023
Evan Seitz, David McCandlish, Justin Kinney, Peter Koo
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Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models
Beyond ManifoldEM: Geometric relationships between manifold embeddings of a continuum of 3D molecular structures and their 2D projections
RSC: Digital Discovery, 2023
Evan Seitz, Joachim Frank, Peter Schwander
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Beyond ManifoldEM: Geometric relationships between manifold embeddings of a continuum of 3D molecular structures and their 2D projections
Recovery of conformational continuum from single-particle cryo-EM images: Optimization of ManifoldEM informed by ground truth
IEEE: Transactions on Computational Imaging, 2022
Evan Seitz, Francisco Acosta-Reyes, Suvrajit Maji, Peter Schwander, Joachim Frank
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Recovery of conformational continuum from single-particle cryo-EM images: Optimization of ManifoldEM informed by ground truth
Analysis of Conformational Continuum and Free-energy Landscapes from Manifold Embedding of Single-particle Cryo-EM Ensembles of Biomolecules
Columbia Libraries: Doctoral Thesis, 2022
Evan Seitz
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Geometric machine learning informed by ground truth: Recovery of conformational continuum from single-particle cryo-EM data of biomolecules
BioRxiv: Preprint, 2021
Evan Seitz, Francisco Acosta-Reyes, Suvrajit Maji, Peter Schwander, Joachim Frank
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POLARIS: Path of least action analysis on energy landscapes
ACS: Journal of Chemical Information and Modeling, 2020
Evan Seitz, Joachim Frank
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POLARIS: Path of least action analysis on energy landscapes
Simulation of cryo-EM ensembles from atomic models of molecules exhibiting continuous conformations
BioRxiv: Preprint, 2019
Evan Seitz, Francisco Acosta-Reyes, Peter Schwander, Joachim Frank
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