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Joshua Cape

Showing results (1-10 of 11) with videos related to

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BMC Proceedings|December 17, 2016
Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing dataElizabeth Held, Joshua Cape, Nathan Tintle
Schizophrenia Research|March 25, 2023
Global network disorganization underlying psychosis high risk statesKonasale Prasad, Jonathan Rubin, Satish Iyengar, et al.
Brain Connectivity|May 11, 2023
Threshold Selection for Brain ConnectomesNicholas Theis, Jonathan Rubin, Joshua Cape, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 9, 2024
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomesMadison Lewis, Wenlong Jiang, Nicholas D Theis, et al.
Journal of Machine Learning Research : JMLR|October 15, 2021
Inference for Multiple Heterogeneous Networks with a Common Invariant SubspaceJesús Arroyo, Avanti Athreya, Joshua Cape, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling studyNicholas Theis, Jyotika Bahuguna, Jonathan E Rubin, et al.
Schizophrenia Research|December 13, 2021
Structural covariance networks in schizophrenia: A systematic review Part IIKonasale Prasad, Jonathan Rubin, Anirban Mitra, et al.
Schizophrenia Research|December 15, 2021
Structural covariance networks in schizophrenia: A systematic review Part IKonasale Prasad, Jonathan Rubin, Anirban Mitra, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychosesNicholas Theis, Jonathan Rubin, Ella O'Rourke, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2019
On a two-truths phenomenon in spectral graph clusteringCarey E Priebe, Youngser Park, Joshua T Vogelstein, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Proceedings|December 17, 2016
Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing dataElizabeth Held, Joshua Cape, Nathan Tintle
Schizophrenia Research|March 25, 2023
Global network disorganization underlying psychosis high risk statesKonasale Prasad, Jonathan Rubin, Satish Iyengar, et al.
Brain Connectivity|May 11, 2023
Threshold Selection for Brain ConnectomesNicholas Theis, Jonathan Rubin, Joshua Cape, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 9, 2024
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomesMadison Lewis, Wenlong Jiang, Nicholas D Theis, et al.
Journal of Machine Learning Research : JMLR|October 15, 2021
Inference for Multiple Heterogeneous Networks with a Common Invariant SubspaceJesús Arroyo, Avanti Athreya, Joshua Cape, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling studyNicholas Theis, Jyotika Bahuguna, Jonathan E Rubin, et al.
Schizophrenia Research|December 13, 2021
Structural covariance networks in schizophrenia: A systematic review Part IIKonasale Prasad, Jonathan Rubin, Anirban Mitra, et al.
Schizophrenia Research|December 15, 2021
Structural covariance networks in schizophrenia: A systematic review Part IKonasale Prasad, Jonathan Rubin, Anirban Mitra, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychosesNicholas Theis, Jonathan Rubin, Ella O'Rourke, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2019
On a two-truths phenomenon in spectral graph clusteringCarey E Priebe, Youngser Park, Joshua T Vogelstein, et al.
Pageof 2