Produktbild: Gene Expression Analysis
Band 2880

Gene Expression Analysis Methods and Protocols

Fr. 218.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.02.2026

Abbildungen

XIV, 366 p. 72 illus., 69 illus. in color.

Herausgeber

Nalini Raghavachari + weitere

Verlag

Springer Us

Seitenzahl

366

Maße (L/B/H)

25.4/17.8/2.1 cm

Gewicht

713 g

Auflage

Second Edition 2025

Sprache

Englisch

ISBN

978-1-07-164278-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.02.2026

Abbildungen

XIV, 366 p. 72 illus., 69 illus. in color.

Herausgeber

Verlag

Springer Us

Seitenzahl

366

Maße (L/B/H)

25.4/17.8/2.1 cm

Gewicht

713 g

Auflage

Second Edition 2025

Sprache

Englisch

ISBN

978-1-07-164278-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: 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.