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Proteomics
A Promising Approach for Cancer Research
- 1st Edition - February 14, 2023
- Editors: Shafat Ali, Sabhiya Majid, Muneeb U Rehman
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 0 7 2 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 0 7 3 - 2
Proteomics: A Promising Approach for Cancer Research provides an updated overview of scientific knowledge, achievements and findings in the field of cancer proteomics. The book… Read more
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Request a sales quoteProteomics: A Promising Approach for Cancer Research provides an updated overview of scientific knowledge, achievements and findings in the field of cancer proteomics. The book discusses topics such as the use of proteomics in cancer biology and drug discovery, its role in surgical oncology, applications of mass spectrometry, target proteomics, single-cell proteomics, and next-generation proteomics. In addition, it discusses proteomics and phosphor-proteomics in cancer precision medicine; translation of proteomics research into clinical application; and challenges and future developments of the field. This will be a valuable resource for cancer researchers, oncologists, graduate students, and members of biomedical field who are interested in the potential of proteomics in cancer research and treatment.
The field of cancer proteomics is very dynamic, with emerging trends related to clinical solutions developed in recent years, therefore this book's content helps readers get up-to-speed on the topic to easily apply learnings into their research or clinical practice.
- Provides up-to-date information on current cancer proteomics research developed globally
- Presents basic research aspects to clinical implications of proteomics on cancer diagnosis and potential treatments
- Discusses challenges and future developments of the field to leverage further research and applicability in clinical setting
- No. of pages: 412
- Language: English
- Edition: 1
- Published: February 14, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323950725
- eBook ISBN: 9780323950732
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Shafat Ali
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Sabhiya Majid
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