Eric F. Lock | DeepAI

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Sarah Samorodnitsky
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∙ 08/30/2023

Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis

Statistical approaches that successfully combine multiple datasets are m...

0 Jiuzhou Wang, et al. ∙

∙ 11/29/2022

Bayesian Simultaneous Factorization and Prediction Using Multi-Omic Data

Understanding of the pathophysiology of obstructive lung disease (OLD) i...

0 Sarah Samorodnitsky, et al. ∙

∙ 08/05/2022

Bayesian predictive modeling of multi-source multi-way data

We develop a Bayesian approach to predict a continuous or binary outcome...

0 Jonathan Kim, et al. ∙

∙ 10/11/2021

Multiway sparse distance weighted discrimination

Modern data often take the form of a multiway array. However, most class...

4 Bin Guo, et al. ∙

∙ 02/28/2021

A Hierarchical Spike-and-Slab Model for Pan-Cancer Survival Using Pan-Omic Data

Pan-omics, pan-cancer analysis has advanced our understanding of the mol...

0 Sarah Samorodnitsky, et al. ∙

∙ 02/26/2021

sJIVE: Supervised Joint and Individual Variation Explained

Analyzing multi-source data, which are multiple views of data on the sam...

0 Elise F. Palzer, et al. ∙

∙ 10/07/2020

Bayesian Distance Weighted Discrimination

Distance weighted discrimination (DWD) is a linear discrimination method...

0 Eric F. Lock, et al. ∙

∙ 02/07/2020

Bidimensional linked matrix factorization for pan-omics pan-cancer analysis

Several modern applications require the integration of multiple large da...

0 Eric F. Lock, et al. ∙

∙ 10/15/2019

Bayesian variable selection in hierarchical difference-in-differences models

A popular method for estimating a causal treatment effect with observati...

0 James Normington, et al. ∙

∙ 10/08/2019

A Pan-Cancer and Polygenic Bayesian Hierarchical Model for the Effect of Somatic Mutations on Survival

We built a novel Bayesian hierarchical survival model based on the somat...

0 Sarah Samorodnitsky, et al. ∙

∙ 06/09/2019

Integrative Factorization of Bidimensionally Linked Matrices

Advances in molecular "omics'" technologies have motivated new methodolo...

0 Jun Young Park, et al. ∙

∙ 01/31/2019

Bayesian nonparametric multiway regression for clustered binomial data

We introduce a Bayesian nonparametric regression model for data with mul...

0 Eric F. Lock, et al. ∙

∙ 08/07/2018

Generalized Integrative Principal Component Analysis for Multi-Type Data with Block-Wise Missing Structure

High-dimensional multi-source data are encountered in many fields. Despi...

0 Huichen Zhu, et al. ∙

∙ 01/04/2017

Tensor-on-tensor regression

We propose a framework for the linear prediction of a multi-way array (i...

0 Eric F. Lock, et al. ∙

∙ 09/11/2016

Supervised multiway factorization

We describe a probabilistic PARAFAC/CANDECOMP (CP) factorization for mul...

0 Eric F. Lock, et al. ∙

∙ 06/26/2016

Discriminating sample groups with multi-way data

High-dimensional linear classifiers, such as the support vector machine ...

0 Tianmeng Lyu, et al. ∙

∙ 02/28/2013

Bayesian Consensus Clustering

The task of clustering a set of objects based on multiple sources of dat...

0 Eric F. Lock, et al. ∙

∙ 02/20/2011

Joint and individual variation explained (JIVE) for integrated analysis of multiple data types

Research in several fields now requires the analysis of data sets in whi...

0 Eric F. Lock, et al. ∙

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