Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors

Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors
Author :
Publisher : Frontiers Media SA
Total Pages : 342
Release :
ISBN-10 : 9782832542569
ISBN-13 : 2832542565
Rating : 4/5 (69 Downloads)

Book Synopsis Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors by : Ming Jun Zheng

Download or read book Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors written by Ming Jun Zheng and published by Frontiers Media SA. This book was released on 2024-01-08 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors Related Books

Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors
Language: en
Pages: 342
Authors: Ming Jun Zheng
Categories: Science
Type: BOOK - Published: 2024-01-08 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Evolution of Translational Omics
Language: en
Pages: 354
Authors: Institute of Medicine
Categories: Science
Type: BOOK - Published: 2012-09-13 - Publisher: National Academies Press

DOWNLOAD EBOOK

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DN
Cancer Evolution
Language: en
Pages: 350
Authors: Charles Swanton
Categories: Medical
Type: BOOK - Published: 2017 - Publisher: Perspectives Cshl

DOWNLOAD EBOOK

Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expan
Deep Learning for Cancer Diagnosis
Language: en
Pages: 311
Authors: Utku Kose
Categories: Technology & Engineering
Type: BOOK - Published: 2020-09-12 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagno
New Prognostic and Predictive Markers in Cancer Progression
Language: en
Pages: 294
Authors: Susan Costantini Alfredo Budillon
Categories: Medical
Type: BOOK - Published: 2021-02-12 - Publisher: MDPI

DOWNLOAD EBOOK

Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer