Gene Expression Analysis

The Salivary Transcriptome: A Window into Local and Systemic Gene Expression Patterns.- Digital PCR Based Gene Expression Analysis Using a Highly Multiplexed Assay with Universal Detection Probes to Study Induced Pluripotent Stem Cell Differentiation into Cranial Neural Crest Cells.- Identification of Circular RNA Variants by Oxford Nanopore Long-Read Sequencing.- Combining Short- and Long-Read Transcriptomes for Targeted Enzyme Discovery.- Spatial-Omics Methods and Applications.- Semi-Quantitative Cardiac Specific Gene Expression Validation of the DNA Methylation Microarray in Human Mesenchymal Stem Cells.- Fusion Transcript Detection from Short-Read RNA-Seq.- RNA-Seq and Gene Set Enrichment Analysis (GSEA) in Peripheral Blood Mononuclear Cells (PBMCs).- Integrating Tissue Microarray to GeoMx® Digital Spatial Profiler Spatial Transcriptomics Assay with Bioinformatics Analysis.- Establishing a De Novo Annotation of Human Liver Transcriptome Based on Long-Read Direct RNA Sequencing Technology and a Liver-Specific Humanized Mouse Model.- Exploring Extracellular Vesicle Transcriptomic Diversity through Long-Read Nanopore Sequencing.- Enhancing Robust and Stable Feature Selection through the Integration of Ranking Methods and Wrapper Techniques in Genetic Data Classification.- Accelerating Single-Cell Sequencing Data Analysis with SciDAP: A User-Friendly Approach.- A Selective Review of Network Analysis Methods for Gene Expression Data.- Deconvolving Bulk Transcriptomics Samples to Obtain Cell Type Proportion Estimates.- Applying AI/ML for Analyzing Gene Expression Patterns.- A Machine Learning Pipeline to Screen Large In Vivo Molecular Data to Curate Disease Signatures of High Translational Potential.- Regulatory Perspectives for Gene Expression-Based Diagnostic Devices.