4 Result(s)

Article

Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects

Yunqing Liu, Jiayi Zhao, Taylor S. Adams, Ningya Wang… in BMC Bioinformatics (2023)

Article

iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects

Single-cell RNA sequencing (scRNA-seq) technology has enabled assessment of transcriptome-wide changes at single-cell resolution. Due to the heterogeneity in environmental exposure and genetic background acros...

Yunqing Liu, Jiayi Zhao, Taylor S. Adams, Ningya Wang… in BMC Bioinformatics (2023)

Article

Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients

Sputum induction is a non-invasive method to evaluate the airway environment, particularly for asthma. RNA sequencing (RNA-seq) of sputum samples can be challenging to interpret due to the complex and heteroge...

Daniel Spakowicz, Shaoke Lou, Brian Barron, Jose L. Gomez, Tianxiao Li… in Genome Biology (2020)

Article

A novel pathway-based distance score enhances assessment of disease heterogeneity in gene expression

Distance based unsupervised clustering of gene expression data is commonly used to identify heterogeneity in biologic samples. However, high noise levels in gene expression data and relatively high correlation...

**ting Yan, Anqi Liang, Jose Gomez, Lauren Cohn, Hongyu Zhao… in BMC Bioinformatics (2017)