Advance computational tools for multiomics data learning

S Mansoor, S Hamid, TT Tuan, JE Park… - Biotechnology Advances, 2024 - Elsevier
The burgeoning field of bioinformatics has seen a surge in computational tools tailored for
omics data analysis driven by the heterogeneous and high-dimensional nature of omics …

Circular RNAs and RNA splice variants as biomarkers for prognosis and therapeutic response in the liquid biopsies of lung cancer patients

F De Fraipont, S Gazzeri, WC Cho, B Eymin - Frontiers in genetics, 2019 - frontiersin.org
Lung cancer, including non-small cell lung carcinoma (NSCLC), is the most frequently
diagnosed cancer. It is also the leading cause of cancer-related mortality worldwide …

[HTML][HTML] Robustness of differential gene expression analysis of RNA-seq

A Stupnikov, CE McInerney, KI Savage… - Computational and …, 2021 - Elsevier
Abstract RNA-sequencing (RNA-seq) is a relatively new technology that lacks
standardisation. RNA-seq can be used for Differential Gene Expression (DGE) analysis …

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

AL Tarca, BÁ Pataki, R Romero, M Sirota, Y Guan… - Cell Reports …, 2021 - cell.com
Identification of pregnancies at risk of preterm birth (PTB), the leading cause of newborn
deaths, remains challenging given the syndromic nature of the disease. We report a …

Differential gene expression in disease: a comparison between high-throughput studies and the literature

R Rodriguez-Esteban, X Jiang - BMC medical genomics, 2017 - Springer
Background Differential gene expression is important to understand the biological
differences between healthy and diseased states. Two common sources of differential gene …

Splicing factor ESRP1 controls ER‐positive breast cancer by altering metabolic pathways

Y Gökmen‐Polar, Y Neelamraju, CP Goswami, Y Gu… - EMBO …, 2019 - embopress.org
The epithelial splicing regulatory proteins 1 and 2 (ESRP 1 and ESRP 2) control the
epithelial‐to‐mesenchymal transition (EMT) splicing program in cancer. However, their role …

Identification of potential biomarkers related to glioma survival by gene expression profile analysis

JBK Hsu, TH Chang, GA Lee, TY Lee, CY Chen - BMC medical genomics, 2019 - Springer
Background Recent studies have proposed several gene signatures as biomarkers for
different grades of gliomas from various perspectives. However, most of these genes can …

Transcriptomics for clinical and experimental biology research: hang on a seq

T Stokes, HH Cen, P Kapranov, IJ Gallagher… - Advanced …, 2023 - Wiley Online Library
Sequencing the human genome empowers translational medicine, facilitating transcriptome‐
wide molecular diagnosis, pathway biology, and drug repositioning. Initially, microarrays are …

Machine learning approaches to predict lupus disease activity from gene expression data

B Kegerreis, MD Catalina, P Bachali, NS Geraci… - Scientific reports, 2019 - nature.com
The integration of gene expression data to predict systemic lupus erythematosus (SLE)
disease activity is a significant challenge because of the high degree of heterogeneity …

[HTML][HTML] Probing infectious disease by single-cell RNA sequencing: Progresses and perspectives

G Luo, Q Gao, S Zhang, B Yan - Computational and Structural …, 2020 - Elsevier
The increasing application of single-cell RNA sequencing (scRNA-seq) technology in life
science and biomedical research has significantly increased our understanding of the …