PathwayMultiomics

TransBioInfoLab/pathwayMultiomics: An R Package to ... - GitHub

An R Package to Implement the Pathway-Based MiniMax Statistic for Multi-Omics Analysis - TransBioInfoLab/pathwayMultiomics.

PathwayMultiomics: An R Package for Efficient Integrative Analysis ...

When multiple types of omics data are available, a commonly used strategy is to test for marginal associations between each type of omics data ...

An R Package for Efficient Integrative Analysis of Multi-Omics ...

Here we present pathwayMultiomics, a pathway-based approach for integrative analysis of multi-omics data with categorical, continuous, or survival outcome ...

PathwayMultiomics: An R Package for Efficient Integrative Analysis ...

PathwayMultiomics is flexible and only requires pathway p-values for individual omics data types as input, thus making it possible to take ...

PathIntegrate: Multivariate modelling approaches for pathway-based ...

We have developed PathIntegrate, a pathway-based multi-omics integration tool which helps integrate and interpret multi-omics data in a single step using ...

Workflow of pathwayMultiomics analysis. - ResearchGate

Download scientific diagram | Workflow of pathwayMultiomics analysis. from publication: PathwayMultiomics: An R Package for Efficient Integrative Analysis ...

An R Package for Efficient Integrative Analysis of Multi-Omics ...

PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples. Odom GJ, Colaprico A, Silva ...

Software | Translational Statistical Bioinformatics Lab

pathwayMultiomics (https://github.com/TransBioInfoLab/pathwayMultiomics) is a pathway-based approach for integrative analysis of multi-omics data with ...

David Merrell - MLCSB - Poster - ISMB 2022 - YouTube

PathwayMultiomics: pathway-regularized GPU-accelerated matrix factorization - David Merrell - MLCSB - Poster - ISMB 2022.

Repository for supplemental material of the pathwayPCA MultiOmics ...

Supplemental Material for pathwayMultiomics Manuscript. Repository for ... The full set of data files is 2,833 such tables (one for each pathway in the C2 CP ...

Directional integration and pathway enrichment analysis for multi ...

We present DPM, a data fusion method for integrating omics datasets using directionality and significance estimates of genes, transcripts, or ...

comprehensive survey of the approaches for pathway analysis using ...

In this article, we review 32 such pathway analysis methods developed for multi-omics and multi-cohort data.

MOPA: An integrative multi-omics pathway analysis method ... - PLOS

We present MOPA (Multi-Omics Pathway Analysis), which is a multi-omics integrative method that scores individual pathways in a sample wise manner.

Frontiers - Genetics on X: "New Research: PathwayMultiomics: An R ...

New Research: PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples: ...

Multi omics analysis using QIAGEN Ingenuity Pathway Analysis

In this 90-minute training session you'll learn about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular ...

PaintOmics 3: a web resource for the pathway analysis and ...

We present here PaintOmics 3, a web-based resource for the integrated visualization of multiple omic data types onto KEGG pathway diagrams.

Integrative pathway enrichment analysis of multivariate omics data

ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion.

Topics tagged multi-omics - OmicsForum

joint-pathway , multi-omics. 9, 946, August 16, 2022. When should I use the ... What are the differences among the pathway databases in joint-pathway analysis?

PathME : pathway based multi-modal sparse autoencoders for ...

We propose a multi-modal sparse denoising autoencoder framework coupled with sparse non-negative matrix factorization to robustly cluster patients based on ...

‪Gabriel Odom‬ - ‪Google Scholar‬

PathwayMultiomics: an R package for efficient integrative analysis of multi-omics datasets with matched or un-matched samples. GJ Odom, A Colaprico, TC Silva, ...