Publications by authors named "Caleb Geniesse"

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RNA-Puzzles Round V: blind predictions of 23 RNA structures.
Fan Bu, Yagoub Adam, Ryszard W Adamiak, Maciej Antczak, Belisa Rebeca H de Aquino, Caleb Geniesse

Nat Methods· February 2025

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LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.
Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi

IEEE Comput Graph Appl· January 2025

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Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data.
Daniel Haşegan, Caleb Geniesse, Samir Chowdhury, Manish Saggar

Netw Neurosci· December 2024

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Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data.
Daniel Haşegan, Caleb Geniesse, Samir Chowdhury, Manish Saggar

bioRxiv· October 2023

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NeuMapper: A scalable computational framework for multiscale exploration of the brain's dynamical organization.
Caleb Geniesse, Samir Chowdhury, Manish Saggar

Netw Neurosci· June 2022

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Synaptopodin stress fiber and contractomere at the epithelial junction.
Timothy Morris, Eva Sue, Caleb Geniesse, William M Brieher, Vivian W Tang

J Cell Biol· May 2022

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Spontaneous and deliberate modes of creativity: Multitask eigen-connectivity analysis captures latent cognitive modes during creative thinking.
Hua Xie, Roger E Beaty, Sahar Jahanikia, Caleb Geniesse, Neeraj S Sonalkar

Neuroimage· November 2021

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RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers.
Zhichao Miao, Ryszard W Adamiak, Maciej Antczak, Michał J Boniecki, Janusz Bujnicki, Caleb Geniesse

RNA· August 2020

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Macromolecular modeling and design in Rosetta: recent methods and frameworks.
Julia Koehler Leman, Brian D Weitzner, Steven M Lewis, Jared Adolf-Bryfogle, Nawsad Alam, Caleb Geniesse

Nat Methods· July 2020

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Generating dynamical neuroimaging spatiotemporal representations (DyNeuSR) using topological data analysis.
Caleb Geniesse, Olaf Sporns, Giovanni Petri, Manish Saggar

Netw Neurosci· July 2019

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Blind prediction of noncanonical RNA structure at atomic accuracy.
Andrew M Watkins, Caleb Geniesse, Wipapat Kladwang, Paul Zakrevsky, Luc Jaeger

Sci Adv· May 2018

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MoleculeNet: a benchmark for molecular machine learning.
Zhenqin Wu, Bharath Ramsundar, Evan N Feinberg, Joseph Gomes, Caleb Geniesse

Chem Sci· January 2018

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RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme.
Zhichao Miao, Ryszard W Adamiak, Maciej Antczak, Robert T Batey, Alexander J Becka, Caleb Geniesse

RNA· May 2017

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