Article

Essential Regression - a generalizable framework for inferring causal latent factors from multi-omic human datasets

2021-05-04

Abstract excerpt

High-dimensional cellular and molecular profiling of human samples highlights the need for analytical approaches that can integrate multi-omic datasets to generate predictive biomarkers and prioritized causal inferences. Current methods are limited by high dimensionality of the combined datasets, the differences in their data distributions and their integration to infer causal relationships. Here we present Essent...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0a68dad0-8211-5a30-994f-916fa451dbb3
DOI: 10.1101/2021.05.03.442513

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Essential Regression - a generalizable framework for inferring causal latent factors from multi-omic human datasetsDOI 10.1101/2021.05.03.442513Read

SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domainsSemantic proximity Read

Analyzing associations and higher-order effects in multi-omics data with double machine learningSemantic proximity Read

A supervised Bayesian factor model for the identification of multi-omics signaturesSemantic proximity Read

Exploiting shared omics architecture and causal association between complex traits and COVID-19Semantic proximity Read

Identifying interactions in omics data for clinical biomarker discovery using symbolic regressionSemantic proximity Read

Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data setsSemantic proximity Read

An Integrative Multi-Omics Random Forest Framework for Robust Biomarker DiscoverySemantic proximity Read

Modeling causal signal propagation in multi-omic factor space with COSMOSSemantic proximity Read

MORE interpretable multi-omic regulatory networks to characterize phenotypesSemantic proximity Read

AutoMRAI: A Multi-Omics Causal Inference Platform Using Structural Equation ModellingSemantic proximity Read

A Regularized Bayesian Dirichlet-multinomial Regression Model for Integrating Single-cell-level Omics and Patient-level Clinical Study DataSemantic proximity Read

PALMO: a comprehensive platform for analyzing longitudinal multi-omics dataSemantic proximity Read