The Applications Of Bioinformatics In Cancer Detection
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Application Of Bioinformatics In Cancers
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Author : Chad Brenner
language : en
Publisher: MDPI
Release Date : 2019-11-20
Application Of Bioinformatics In Cancers written by Chad Brenner and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Medical categories.
This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
The Applications Of Bioinformatics In Cancer Detection
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Author : Asad Umar
language : en
Publisher:
Release Date : 2004
The Applications Of Bioinformatics In Cancer Detection written by Asad Umar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Medical categories.
The state of the science of bioinformatics - that is, application of computer processes to solving biological problems - and its potential for assisting early cancer detection, risk assessment, and risk reduction form the focus of this volume.
Biophysics Biostatics And Bioinformatics
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-06-14
Biophysics Biostatics And Bioinformatics written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Science categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Cancer Detection And Diagnosis
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Author : Miguel Ossandon
language : en
Publisher: CRC Press
Release Date : 2025-08-21
Cancer Detection And Diagnosis written by Miguel Ossandon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-21 with Medical categories.
Emerging technologies for cancer detection and diagnosis are providing more and more advance warning of pathologies of clinical significance. Research devoted to cancers are revealing new ways of finding and treating these complex diseases. This volume reviews a broad array of new technologies for cancer detection and diagnosis. While there are several clinical books describing cancer diagnosis, and general molecular analytical technologies, these books are not focused on cancer detection and diagnosis. The aim of this book is to describe emerging cancer detection and diagnosis technologies. Key Features • Presents myriad new experimental cancer detection technologies • Describes technology so the reader may conduct similar analyses • Outlines clinical applications of technology for specific cancer and summarizes results • Discusses pitfalls and limitations, future trends and potential technological developments Miguel Ossandon has a dual background in clinical laboratory and computer science. He started working in cancer research at the Lombardi Cancer Center at Georgetown University where he also began his undergraduate training in computer science. He has been working for the National Cancer Institute since 2007. Miguel received his master’s degree at the George Washington University and PhD in computer science at the University of Maryland Baltimore County. As a program director in the Diagnostic Biomarkers and Technology Branch, he manages a grant portfolio related to computational modeling and machine learning approaches for cancer diagnosis, digital image processing/analysis, and microfluidic and circulating tumor cell technology. Ben Prickril is a former US government official working at the US National Institutes of Health, National Cancer Institute. He has a background in medically related chemistry, microbiology, immunology, patenting and intellectual property, and global health. International research development includes experience in France, Turkey, Ukraine, Czech Republic and Burkina Faso. He received his PhD from the University of Georgia. Avraham Rasooly is in the Division of Cancer Treatment and Diagnosis, National Cancer Institute. He has been responsible for developing research programs on new approaches for cancer therapy, including technologies for microbial-based cancer therapy. He received his PhD from Michigan State University.
Biophysics Biostatistics And Bioinformatics
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-03-12
Biophysics Biostatistics And Bioinformatics written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Science categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Data Analytics In Bioinformatics
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Author : Rabinarayan Satpathy
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-20
Data Analytics In Bioinformatics written by Rabinarayan Satpathy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Computers categories.
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Microarray Bioinformatics
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Author : Dov Stekel
language : en
Publisher: Cambridge University Press
Release Date : 2003-09-08
Microarray Bioinformatics written by Dov Stekel and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-08 with Medical categories.
This book is a comprehensive guide to all of the mathematics, statistics and computing you will need to successfully operate DNA microarray experiments. It is written for researchers, clinicians, laboratory heads and managers, from both biology and bioinformatics backgrounds, who work with, or who intend to work with microarrays. The book covers all aspects of microarray bioinformatics, giving you the tools to design arrays and experiments, to analyze your data, and to share your results with your organisation or with the international community. There are chapters covering sequence databases, oligonucleotide design, experimental design, image processing, normalisation, identifying differentially expressed genes, clustering, classification and data standards. The book is based on the highly successful Microarray Bioinformatics course at Oxford University, and therefore is ideally suited for teaching the subject at postgraduate or professional level.
Index Medicus
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Author :
language : en
Publisher:
Release Date : 2004
Index Medicus written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Medicine categories.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
The Applications Of Bioinformatics In Cancer Detection
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Author : Asad Umar
language : en
Publisher:
Release Date : 2004
The Applications Of Bioinformatics In Cancer Detection written by Asad Umar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Medical categories.
The state of the science of bioinformatics - that is, application of computer processes to solving biological problems - and its potential for assisting early cancer detection, risk assessment, and risk reduction form the focus of this volume.
Biomedical Data Mining For Information Retrieval
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Author : Sujata Dash
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-24
Biomedical Data Mining For Information Retrieval written by Sujata Dash and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Computers categories.
BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.