Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis
This reprint highlights recent developments in computational biology, deep learning algorithms, and cancer biology that enable the decoding of the cancer genome and tumor microenvironment ecosystem. One of its major focuses is on the integration of multi-omics data such as WGS, WES, scRNAseq, spatia...
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| Materialtyp: | Online |
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| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Länkar: | ONIX_20250220_9783725819997_67 |
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| _version_ | 1869530549842870272 |
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| collection | Directory of Open Access Books |
| description | This reprint highlights recent developments in computational biology, deep learning algorithms, and cancer biology that enable the decoding of the cancer genome and tumor microenvironment ecosystem. One of its major focuses is on the integration of multi-omics data such as WGS, WES, scRNAseq, spatial transcriptomics, and proteomics, along with radiomics and digital pathology, to better understand cancer initiation, evolution, drug-tolerant persister cancer states, and full therapy resistance. Unbiased, systematic analyses using artificial intelligence, machine learning, and deep learning approaches could advance our knowledge and improve cancer treatment. In this reprint, leading experts in the field share their insights, research findings, and visions for the future of cancer informatics. Cutting-edge computational approaches and bioinformatics algorithms provide powerful toolkits to systematically identify clinically relevant biomarkers for early cancer diagnosis, prognosis, and precision cancer therapy stratification. |
| format | Online |
| id | doab-20.500.12854ir-152703 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1527032025-02-20T12:56:20Z Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis Wu, Wei Bivona, Trever G. cancer genomics computational biology bioinformatics multi-omics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology This reprint highlights recent developments in computational biology, deep learning algorithms, and cancer biology that enable the decoding of the cancer genome and tumor microenvironment ecosystem. One of its major focuses is on the integration of multi-omics data such as WGS, WES, scRNAseq, spatial transcriptomics, and proteomics, along with radiomics and digital pathology, to better understand cancer initiation, evolution, drug-tolerant persister cancer states, and full therapy resistance. Unbiased, systematic analyses using artificial intelligence, machine learning, and deep learning approaches could advance our knowledge and improve cancer treatment. In this reprint, leading experts in the field share their insights, research findings, and visions for the future of cancer informatics. Cutting-edge computational approaches and bioinformatics algorithms provide powerful toolkits to systematically identify clinically relevant biomarkers for early cancer diagnosis, prognosis, and precision cancer therapy stratification. 2025-02-20T12:56:17Z 2025-02-20T12:56:17Z 2024 book ONIX_20250220_9783725819997_67 9783725819997 9783725820009 https://directory.doabooks.org/handle/20.500.12854/152703 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9964 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2000-9 10.3390/books978-3-7258-2000-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725819997 9783725820009 180 Basel open access |
| spellingShingle | cancer genomics computational biology bioinformatics multi-omics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis |
| title | Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis |
| title_full | Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis |
| title_fullStr | Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis |
| title_full_unstemmed | Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis |
| title_short | Application of Multi-Omics Analysis in Cancer Diagnosis, Treatment and Prognosis |
| title_sort | application of multi omics analysis in cancer diagnosis treatment and prognosis |
| topic | cancer genomics computational biology bioinformatics multi-omics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | cancer genomics computational biology bioinformatics multi-omics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725819997_67 |