E-raamat: Gene Expression Analysis: Methods and Protocols

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.