Evan Seitz
Evan Seitz
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First author
Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models
Nat Mach Intell, 2024
Evan Seitz
,
David McCandlish
,
Justin Kinney
,
Peter Koo
DOI
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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
DOI
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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
DOI
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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
DOI
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Distinction
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
DOI
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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
DOI
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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
DOI
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