Expediting Combinatorial Data Set Analysis by Combining Human and Algorithmic Analysis.
Sign Up to like & getrecommendations! Published in 2017 at "ACS combinatorial science"
DOI: 10.1021/acscombsci.6b00151
Abstract: A challenge in combinatorial materials science remains the efficient analysis of X-ray diffraction (XRD) data and its correlation to functional properties. Rapid identification of phase-regions and proper assignment of corresponding crystal structures is necessary to… read more here.
Keywords: functional properties; expediting combinatorial; analysis; combinatorial data ... See more keywords
Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure
Sign Up to like & getrecommendations! Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-06022-6
Abstract: Gene-set analysis provides insight into which functional and biological properties of genes are aetiologically relevant for a particular phenotype. But genes have multiple properties, and these properties are often correlated across genes. This can cause… read more here.
Keywords: gene set; blood; gene; conditional interaction ... See more keywords
The null hypothesis of GSEA, and a novel statistical model for competitive gene set analysis.
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw803
Abstract: MOTIVATION Competitive gene set analysis intends to assess whether a specific set of genes is more associated with a trait than the remaining genes. However, the statistical models assumed to date to underly these methods… read more here.
Keywords: gene set; set analysis; null hypothesis;
Gene set analysis controlling for length bias in RNA-seq experiments
Sign Up to like & getrecommendations! Published in 2017 at "BioData Mining"
DOI: 10.1186/s13040-017-0125-9
Abstract: BackgroundIn gene set analysis, the researchers are interested in determining the gene sets that are significantly correlated with an outcome, e.g. disease status or treatment. With the rapid development of high throughput sequencing technologies, Ribonucleic… read more here.
Keywords: gene set; length bias; gene; rna seq ... See more keywords
Gene set analysis methods: a systematic comparison
Sign Up to like & getrecommendations! Published in 2018 at "BioData Mining"
DOI: 10.1186/s13040-018-0166-8
Abstract: BackgroundGene set analysis is a valuable tool to summarize high-dimensional gene expression data in terms of biologically relevant sets. This is an active area of research and numerous gene set analysis methods have been developed.… read more here.
Keywords: gene set; analysis; comparison; gene ... See more keywords
Using crystallography, topology and graph set analysis for the description of the hydrogen bond network of triamterene: a rational approach to solid form selection
Sign Up to like & getrecommendations! Published in 2017 at "Chemistry Central Journal"
DOI: 10.1186/s13065-017-0293-1
Abstract: This study has demonstrated the use of crystallography, topology and graph set analysis in the description and classification of the complex hydrogen bonded network of triamterene. The aim is to give a brief overview of… read more here.
Keywords: topology graph; crystallography topology; graph set; topology ... See more keywords
Proteome-transcriptome alignment of molecular portraits achieved by self-contained gene set analysis: Consensus colon cancer subtypes case study
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0221444
Abstract: Gene set analysis (GSA) has become the common methodology for analyzing transcriptomics data. However, self-contained GSA techniques are rarely, if ever, used for proteomics data analysis. Here we present a self-contained proteome level GSA of… read more here.
Keywords: gene set; level; proteome transcriptome; set analysis ... See more keywords
SCIA: A Novel Gene Set Analysis Applicable to Data With Different Characteristics
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.00598
Abstract: Gene set analysis is commonly used in functional enrichment and molecular pathway analyses. Most of the present methods are based on the competitive testing methods which assume each gene is independent of the others. However,… read more here.
Keywords: gene set; analysis; novel gene; scia novel ... See more keywords
GSA Central—A web platform to perform, learn, and discuss gene set analysis
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.965908
Abstract: Gene Set Analysis (GSA) is one of the most commonly used strategies to analyze omics data. Hundreds of GSA-related papers have been published, giving birth to a GSA field in Bioinformatics studies. However, as the… read more here.
Keywords: web platform; gsa central; gene set; set analysis ... See more keywords
NaRnEA: An Information Theoretic Framework for Gene Set Analysis
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25030542
Abstract: Gene sets are being increasingly leveraged to make high-level biological inferences from transcriptomic data; however, existing gene set analysis methods rely on overly conservative, heuristic approaches for quantifying the statistical significance of gene set enrichment.… read more here.
Keywords: information theoretic; narnea; analysis; gene set ... See more keywords
Genome-Wide Gene-Set Analysis Approaches in Amyotrophic Lateral Sclerosis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12111932
Abstract: The rapid increase in the number of genetic variants identified to be associated with Amyotrophic Lateral Sclerosis (ALS) through genome-wide association studies (GWAS) has created an emerging need to understand the functional pathways that are… read more here.
Keywords: lateral sclerosis; gene set; set analysis; gene ... See more keywords