Comprehensive investigation of pathway enrichment methods for functional interpretation of LC–MS global metabolomics data

Y Lu, Z Pang, J **a - Briefings in Bioinformatics, 2023‏ - academic.oup.com
Background: Global or untargeted metabolomics is widely used to comprehensively
investigate metabolic profiles under various pathophysiological conditions such as …

Orchestrating single-cell analysis with Bioconductor

RA Amezquita, ATL Lun, E Becht, VJ Carey… - Nature …, 2020‏ - nature.com
Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …

KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis

D Bu, H Luo, P Huo, Z Wang, S Zhang, Z He… - Nucleic acids …, 2021‏ - academic.oup.com
Gene set enrichment (GSE) analysis plays an essential role in extracting biological insight
from genome-scale experiments. ORA (overrepresentation analysis), FCS (functional class …

PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data

O Franzén, LM Gan, JLM Björkegren - Database, 2019‏ - academic.oup.com
Single-cell RNA sequencing is an increasingly used method to measure gene expression at
the single cell level and build cell-type atlases of tissues. Hundreds of single-cell …

Gene set analysis: challenges, opportunities, and future research

F Maleki, K Ovens, DJ Hogan, AJ Kusalik - Frontiers in genetics, 2020‏ - frontiersin.org
Gene set analysis methods are widely used to provide insight into high-throughput gene
expression data. There are many gene set analysis methods available. These methods rely …

ReactomeGSA-efficient multi-omics comparative pathway analysis

J Griss, G Viteri, K Sidiropoulos, V Nguyen… - Molecular & Cellular …, 2020‏ - ASBMB
Pathway analyses are key methods to analyze 'omics experiments. Nevertheless, integrating
data from different 'omics technologies and different species still requires considerable …

Identifying significantly impacted pathways: a comprehensive review and assessment

TM Nguyen, A Shafi, T Nguyen, S Draghici - Genome biology, 2019‏ - Springer
Background Many high-throughput experiments compare two phenotypes such as disease
vs. healthy, with the goal of understanding the underlying biological phenomena …

Brain neurotrauma: molecular, neuropsychological, and rehabilitation aspects

FH Kobeissy - 2015‏ - books.google.com
With the contribution from more than one hundred CNS neurotrauma experts, this book
provides a comprehensive and up-to-date account on the latest developments in the area of …

Methods and approaches in the topology-based analysis of biological pathways

C Mitrea, Z Taghavi, B Bokanizad, S Hanoudi… - Frontiers in …, 2013‏ - frontiersin.org
The goal of pathway analysis is to identify the pathways significantly impacted in a given
phenotype. Many current methods are based on algorithms that consider pathways as …

Combining multiple tools outperforms individual methods in gene set enrichment analyses

M Alhamdoosh, M Ng, NJ Wilson, JM Sheridan… - …, 2017‏ - academic.oup.com
Motivation Gene set enrichment (GSE) analysis allows researchers to efficiently extract
biological insight from long lists of differentially expressed genes by interrogating them at a …