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| Available: 0 |
| List Price:$199.99 |
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| Edition: | 2nd |
| Publisher: | Springer Nature |
| ISBN: | 1-07-164565-X (107164565X) |
| ISBN-13: | 978-1-07-164565-9 (9781071645659) |
| Old Edition: | 1-4939-9404-2 |
| Binding: | Hardcover |
| Copyright: | 2026 |
| Publish Date: | 08/25 |
| Volume: | 2932 |
| Weight: | 1.82 Lbs. |
| Pages: | 344 |
| Subject Class: | ONC (Oncology) |
| Return Policy: | Returns accepted up to 12 months provided no other recalls or return restrictions apply. |
| Contributing Authors: |
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| ISSN Series: | Methods in Molecular Biology | | Discipline: | Pathology | | Subject Definition: | Computational Biology, Models, Biological; Neoplasms | | NLM Class: | QZ 206 | | LC Class: | RC267 | | Abstract: | This second volume covers state-of-the-art cancer-related methods and tools for data analysis and interpretation. Chapters detail methods on cancer-related software repositories, databases, cloud computing resources, genomic alterations caused by cancer, methods on evaluate findings from liquid biopsies, and prognostic tools for immunotherapies. Written in the highly successful Methods in Molecular Biology series format, the chapters include brief introductions to the material, lists of necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and a Notes section which highlights tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Cancer Bioinformatics, Second Edition aims to be comprehensive guide for researchers in the field. |
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