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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

IEEE transactions on knowledge and data engineering, 2017-10, Vol.29 (10), p.2318-2331

2017

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IEEE_Xplore

A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016

Scientific reports, 2021-02, Vol.11 (1), p.4692-9, Article 4692

2021

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Spatio-Temporal Data Mining: A Survey of Problems and Methods

ACM computing surveys, 2018-09, Vol.51 (4), p.1-41

2018

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Neurometrics of intrinsic connectivity networks at rest using fMRI: Retest reliability and cross-validation using a meta-level method

NeuroImage (Orlando, Fla.), 2013-08, Vol.76, p.236-251

2013

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Putting genetic interactions in context through a global modular decomposition

Genome research, 2011-08, Vol.21 (8), p.1375

2011

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Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices

EPJ Web of Conferences, 2021, Vol.251, p.4012

2021

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Toward a neurometric foundation for probabilistic independent component analysis of fMRI data

Cognitive, affective, & behavioral neuroscience, 2013-09, Vol.13 (3), p.641-659

2013

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Feature selection framework for functional connectome fingerprinting

Human brain mapping, 2021-08, Vol.42 (12), p.3717-3732

2021

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A hierarchical Bayesian approach to regularization with application to the inference of relaxation spectra

Journal of rheology (New York : 1978), 2022-01, Vol.66 (1), p.125-145

2022

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Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF

Bioinformatics, 2020-06, Vol.36 (12), p.3773-3780

2020

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Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival

BMC medicine, 2008-09, Vol.6 (1), p.26-26, Article 26

2008

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Evaluation of functional MRI-based human brain parcellation: a review

Journal of neurophysiology, 2022-07, Vol.128 (1), p.197-217

2022

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Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks

IEEE transactions on knowledge and data engineering, 2020-09, Vol.32 (9), p.1798-1811

2020

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IEEE_Xplore

Co-clustering phenome-genome for phenotype classification and disease gene discovery

Nucleic acids research, 2012-10, Vol.40 (19), p.e146

2012

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The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works

Computer (Long Beach, Calif.), 2016-10, Vol.49 (10), p.65-71

2016

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IEEE_Xplore

Sensitization to peanut, egg or pets is associated with skin barrier dysfunction in children with atopic dermatitis

Clinical and experimental allergy, 2021-05, Vol.51 (5), p.666-673

2021

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Examining reaction time variability on the stop-signal task in the ABCD study

Journal of the International Neuropsychological Society, 2023-06, Vol.29 (5), p.492-502

2023

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Connectivity cluster analysis for discovering discriminative subnetworks in schizophrenia

Human brain mapping, 2015-02, Vol.36 (2), p.756-767

2015

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ABCD_Harmonizer: An Open-source Tool for Mapping and Controlling for Scanner Induced Variance in the Adolescent Brain Cognitive Development Study

Neuroinformatics (Totowa, N.J.), 2023-04, Vol.21 (2), p.323-337

2023

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Chronic Dysregulation of Cortical and Subcortical Metabolism After Experimental Traumatic Brain Injury

Molecular neurobiology, 2019-04, Vol.56 (4), p.2908-2921

2019

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A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network

Connectomics in NeuroImaging, 2019, p.83-94

2019

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Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation

Connectomics in NeuroImaging, 2019, p.95-105

2019

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Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack

NeuroImage clinical, 2013-08, Vol.3, p.123-131

2013

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Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers

BMC genomics, 2013-07, Vol.14 (1), p.440-440

2013

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Mining Dynamic Relationships From Spatio-temporal Datasets: An Application to Brain fMRI Data

Atluri, Gowtham

2014

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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016

Spatio-Temporal Data Mining: A Survey of Problems and Methods

Neurometrics of intrinsic connectivity networks at rest using fMRI: Retest reliability and cross-validation using a meta-level method

Putting genetic interactions in context through a global modular decomposition

Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices

Toward a neurometric foundation for probabilistic independent component analysis of fMRI data

Feature selection framework for functional connectome fingerprinting

A hierarchical Bayesian approach to regularization with application to the inference of relaxation spectra

Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF

Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival

Evaluation of functional MRI-based human brain parcellation: a review

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks

Co-clustering phenome-genome for phenotype classification and disease gene discovery

The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works

Sensitization to peanut, egg or pets is associated with skin barrier dysfunction in children with atopic dermatitis

Examining reaction time variability on the stop-signal task in the ABCD study

Connectivity cluster analysis for discovering discriminative subnetworks in schizophrenia

ABCD_Harmonizer: An Open-source Tool for Mapping and Controlling for Scanner Induced Variance in the Adolescent Brain Cognitive Development Study

Chronic Dysregulation of Cortical and Subcortical Metabolism After Experimental Traumatic Brain Injury

A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network

Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation

Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack

Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers

Mining Dynamic Relationships From Spatio-temporal Datasets: An Application to Brain fMRI Data

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