Identification Of Immune Related Biomarkers For Cancer Diagnosis Based On Multi Omics Data

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Identification Of Immune Related Biomarkers For Cancer Diagnosis Based On Multi Omics Data

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Author : Liang Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-02

Identification Of Immune Related Biomarkers For Cancer Diagnosis Based On Multi Omics Data written by Liang Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-02 with Medical categories.

Identification Of Multi Biomarker For Cancer Diagnosis And Prognosis Based On Network Model And Multi Omics Data

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Author : Chunquan Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-02

Identification Of Multi Biomarker For Cancer Diagnosis And Prognosis Based On Network Model And Multi Omics Data written by Chunquan Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-02 with Science categories.

Bioinformatics Analysis Of Omics Data For Biomarker Identification In Clinical Research Volume Ii

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Author : Lixin Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-05

Bioinformatics Analysis Of Omics Data For Biomarker Identification In Clinical Research Volume Ii written by Lixin Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Science categories.

This Research Topic is part of a series with, "Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research - Volume I" (https://www.frontiersin.org/research-topics/13816/bioinformatics-analysis-of-omics-data-for-biomarker-identification-in-clinical-research) The advances and the decreasing cost of omics data enable profiling of disease molecular features at different levels, including bulk tissues, animal models, and single cells. Large volumes of omics data enhance the ability to search for information for preclinical study and provide the opportunity to leverage them to understand disease mechanisms, identify molecular targets for therapy, and detect biomarkers of treatment response. Identification of stable, predictive, and interpretable biomarkers is a significant step towards personalized medicine and therapy. Omics data from genomics, transcriptomics, proteomics, epigenomics, metagenomics, and metabolomics help to determine biomarkers for prognostic and diagnostic applications. Preprocessing of omics data is of vital importance as it aims to eliminate systematic experimental bias and technical variation while preserving biological variation. Dozens of normalization methods for correcting experimental variation and bias in omics data have been developed during the last two decades, while only a few consider the skewness between different sample states, such as the extensive over-repression of genes in cancers. The choice of normalization methods determines the fate of identified biomarkers or molecular signatures. From these considerations, the development of appropriate normalization methods or preprocessing strategies may promote biomarker identification and facilitate clinical decision-making.

Systematic Identification Of Novel Diagnostic And Prognostic Tumor Biomarkers Based On Multi Omics Data Analysis Of Solid Tumors

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Author : Ming Jun Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-08

Systematic Identification Of Novel Diagnostic And Prognostic Tumor Biomarkers Based On Multi Omics Data Analysis Of Solid Tumors written by Ming Jun Zheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Science categories.

Data Mining And Statistical Methods For Knowledge Discovery In Diseases Based On Multimodal Omics

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Author : Jiajie Peng
language : en
Publisher: Frontiers Media SA
Release Date : 2022-06-06

Data Mining And Statistical Methods For Knowledge Discovery In Diseases Based On Multimodal Omics written by Jiajie Peng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-06 with Science categories.

Omics Data Integration Towards Mining Of Phenotype Specific Biomarkers In Cancer Volume Ii

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Author : Liang Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-29

Omics Data Integration Towards Mining Of Phenotype Specific Biomarkers In Cancer Volume Ii written by Liang Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Science categories.

Multi Omics Analysis In Tumor Microenvironment And Tumor Heterogeneity

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Author : Jinhui Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-25

Multi Omics Analysis In Tumor Microenvironment And Tumor Heterogeneity written by Jinhui Liu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Science categories.

Concepts And Methodology In Cancer Diagnostics

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Author : Seema Nayak
language : en
Publisher: Elsevier
Release Date : 2024-11-05

Concepts And Methodology In Cancer Diagnostics written by Seema Nayak and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Science categories.

Concepts and Methodology in Cancer Diagnostics: An Immunological, Biochemical and Molecular Approach provides an exclusive combination of all basics and recent techniques, methodology, and advancements in the field of cancer diagnostics. With a strong focus on the procedures and techniques involved in cancer diagnostics, content also gives insights into the molecular tests required for different tumors for the administration of targeted drugs and precision medicine. In 11 chapters. The book also introduces the methods and technologies based on DNA and RNA based biomarkers, biochemical and immunological markers, genetic signatures, epigenetic changes and exosomes in blood, and tissue and body fluids.Readers will find a compilation of imperative topics and lists of the necessary materials and reagents needed, step-by-step instructions, readily reproducible laboratory protocols, as well as tips on troubleshooting and known pitfalls. This book is a valuable resource for medical professionals and researchers who want to understand the concepts of validated protocols and methodologies in diagnosing cancer, its prognosis, and predictive value. - Discusses and provides solutions for quality control procedures in antibody tests in cancer diagnostics - Gives insights into the limitations and biasness of biomarker testing, specifically immunohistochemical and molecular markers - Provides procedures and addresses the challenges related to quality control, proficiency testing, accuracy, and precision of biomarker testing in cancer - Explores numerous methods used in basic and diagnostic laboratories to characterize cancer-related biomarkers, including cancer risk assessment, diagnosis, and determination of cancer progression

Predicting High Risk Individuals For Common Diseases Using Multi Omics And Epidemiological Data

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Author : Lu Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2021-10-01

Predicting High Risk Individuals For Common Diseases Using Multi Omics And Epidemiological Data written by Lu Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Science categories.

Biomedical Image Or Genomic Data Characterization And Radiogenomic Image Omics

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Author : Ming Fan
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-27

Biomedical Image Or Genomic Data Characterization And Radiogenomic Image Omics written by Ming Fan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-27 with Science categories.

Much of the emphasis in discussions about personalized medicine has been focused on the molecular characterization of tissue samples using microarray technology. However, as genetic differ between and within tumors and are quite heterogeneous, these techniques are limited. Imaging is noninvasive and is often used in routine clinical practice for disease diagnosis, treatment, and prognosis. Imaging is useful to guide disease therapy by providing a more comprehensive view of the entire lesion and it can be used on an ongoing basis to monitor lesion growth and progression or its response to treatment. The imaging includes but not limited to ultrasound, X-ray, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). Radiomics refers to the conversion of images to high dimensional data and the subsequent mining for characterization of biology and ultimately to improve disease management for patients. Radiogenomics investigates relationships between imaging features and genomics, which represents the correlation between the anatomical-histological level to the genomic level. With advanced artificial intelligence methods, especially deep learning, data processing, feature extraction and data integration have been greatly improved. The topic is about artificial intelligence methods in biomedical images and genomics data for disease diagnosis, treatment, and prognosis, as listed here: • Biomarker identification from biomedical images to predict disease diagnosis, treatment, and prognosis • Radiogenomics/image-omics in identifying imaging biomarkers associated with molecular characteristics of the disease. • Machine learning/deep learning methods in biomedical imaging or genomics for disease detection and precision medicine. • Prediction of histological characteristics of disease based on biomedical imaging. • Integration of radiomics and genomics features for disease diagnosis, prognosis, and prediction medicine • Multimodality images or multi-omics data integration methods