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 (565 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

GET 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

GET EBOOK

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DN
Ovarian Cancer Biomarkers
Language: en
Pages: 236
Authors: Khalid El Bairi
Categories: Medical
Type: BOOK - Published: 2021-10-09 - Publisher: Springer Nature

GET EBOOK

This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in th
Integration of Multisource Heterogenous Omics Information in Cancer
Language: en
Pages: 154
Authors: Victor Jin
Categories:
Type: BOOK - Published: 2020-01-30 - Publisher: Frontiers Media SA

GET EBOOK

Multisource heterogenous omics data can provide unprecedented perspectives and insights into cancer studies, but also pose great analytical problems for researc
Deep Learning for Cancer Diagnosis
Language: en
Pages: 311
Authors: Utku Kose
Categories: Technology & Engineering
Type: BOOK - Published: 2020-09-12 - Publisher: Springer Nature

GET 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