Evan Seitz
Evan Seitz
Home
Skills
Projects
Publications
Presentations
CV
Light
Dark
Automatic
First author
Decoding the Mechanistic Impact of Genetic Variation on Regulatory Sequences with Deep Learning
ICLR GEM Workshop, 2025
Evan Seitz
,
David McCandlish
,
Justin Kinney
,
Peter Koo
PDF
OpenReview
Cite
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
PDF
SI
Cite
Press
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
PDF
SI
Cite
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
PDF
SI
Cite
Code
Data
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
PDF
Cite
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
PDF
SI
Cite
Code
POLARIS: Path of least action analysis on energy landscapes
ACS: Journal of Chemical Information and Modeling, 2020
Evan Seitz
,
Joachim Frank
DOI
PDF
SI
Cite
Code
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
PDF
Cite
Code
Cite
×