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Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets

PLoS computational biology, 2010-02, Vol.6 (2), p.e1000662-e1000662

2010

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Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis

NeuroImage (Orlando, Fla.), 2021-08, Vol.237, p.118137-118137, Article 118137

2021

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Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions

Scientific reports, 2021-08, Vol.11 (1), p.16567-16567, Article 16567

2021

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Combinatorial extracellular matrix microenvironments promote survival and phenotype of human induced pluripotent stem cell-derived endothelial cells in hypoxia

Acta biomaterialia, 2016-10, Vol.44, p.188-199

2016

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The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression

NeuroImage (Orlando, Fla.), 2020-07, Vol.214, p.116715-116715, Article 116715

2020

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Prognostic Significance of Early Aortic Remodeling in Acute Uncomplicated Type B Aortic Dissection and Intramural Hematoma

The Journal of thoracic and cardiovascular surgery, 2017-10, Vol.154 (4), p.1192-1200

2017

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Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury

Scientific reports, 2019-05, Vol.9 (1), p.7973, Article 7973

2019

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Effective degrees of freedom: a flawed metaphor

Biometrika, 2015-06, Vol.102 (2), p.479-485

2015

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Reorienting Latent Variable Modeling for Supervised Learning

Multivariate behavioral research, 2023-11, Vol.58 (6), p.1057-1071

2023

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Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

Journal of biomechanics, 2018-11, Vol.81, p.1-11

2018

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Combinatorial Extracellular Matrix Microenvironments for Probing Endothelial Differentiation of Human Pluripotent Stem Cells

Scientific reports, 2017-07, Vol.7 (1), p.6551-12, Article 6551

2017

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Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery

Frontiers in Marine Science, 2023-01, Vol.9

2023

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Confounds in neuroimaging: A clear case of sex as a confound in brain-based prediction

Frontiers in neurology, 2022-12, Vol.13, p.960760-960760

2022

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Learning the Structure of Mixed Graphical Models

Journal of computational and graphical statistics, 2015-01, Vol.24 (1), p.230-253

2015

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Functional linear discriminant analysis for irregularly sampled curves

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2001, Vol.63 (3), p.533-550

2001

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Principal curve approaches for inferring 3D chromatin architecture

Biostatistics (Oxford, England), 2022-04, Vol.23 (2), p.626-642

2022

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Elements of Statistical Learning: Data Mining, Inference, and Prediction

Second Edition, 2009

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Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissection

The Journal of thoracic and cardiovascular surgery, 2021-04, Vol.161 (4), p.1184-1190.e2

2021

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Smooth Multi-Period Forecasting With Application to Prediction of COVID-19 Cases

Journal of computational and graphical statistics, 2024-07, Vol.33 (3), p.955-967

2024

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Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data

JNCI : Journal of the National Cancer Institute, 2019-06, Vol.111 (6), p.568-574

2019

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Improved Semiparametric Time Series Models of Air Pollution and Mortality

Journal of the American Statistical Association, 2004-12, Vol.99 (468), p.938-948

2004

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FIRE: functional inference of genetic variants that regulate gene expression

Bioinformatics (Oxford, England), 2017-12, Vol.33 (24), p.3895-3901

2017

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Targeted use of growth mixture modeling: a learning perspective

Statistics in medicine, 2017-02, Vol.36 (4), p.671-686

2017

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An Introduction to Statistical Learning: with Applications in R

1, 2013

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Principal component models for sparse functional data

Biometrika, 2000-09, Vol.87 (3), p.587-602

2000

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Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets

Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis

Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions

Combinatorial extracellular matrix microenvironments promote survival and phenotype of human induced pluripotent stem cell-derived endothelial cells in hypoxia

The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression

Prognostic Significance of Early Aortic Remodeling in Acute Uncomplicated Type B Aortic Dissection and Intramural Hematoma

Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury

Effective degrees of freedom: a flawed metaphor

Reorienting Latent Variable Modeling for Supervised Learning

Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

Combinatorial Extracellular Matrix Microenvironments for Probing Endothelial Differentiation of Human Pluripotent Stem Cells

Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery

Confounds in neuroimaging: A clear case of sex as a confound in brain-based prediction

Learning the Structure of Mixed Graphical Models

Functional linear discriminant analysis for irregularly sampled curves

Principal curve approaches for inferring 3D chromatin architecture

Elements of Statistical Learning: Data Mining, Inference, and Prediction

Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissection

Smooth Multi-Period Forecasting With Application to Prediction of COVID-19 Cases

Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data

Improved Semiparametric Time Series Models of Air Pollution and Mortality

FIRE: functional inference of genetic variants that regulate gene expression

Targeted use of growth mixture modeling: a learning perspective

An Introduction to Statistical Learning: with Applications in R

Principal component models for sparse functional data

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