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Computational and systems oncology
| Computational and systems oncology |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 616.994 |
| Soggetto topico |
Oncology - Data processing
Oncology Systems biology Medical Oncology Neoplasms Medical Informatics Computing |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 2689-9655 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
CSO
Computational & systems oncology |
| Record Nr. | UNISA-996423746703316 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational and systems oncology
| Computational and systems oncology |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 616.994 |
| Soggetto topico |
Oncology - Data processing
Oncology Systems biology Medical Oncology Neoplasms Medical Informatics Computing |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 2689-9655 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
CSO
Computational & systems oncology |
| Record Nr. | UNINA-9910481147503321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical and computational oncology : third international symposium, ISMCO 2021, virtual event, October 11-13, 2021, proceedings / / George Bebis [and four others], editors
| Mathematical and computational oncology : third international symposium, ISMCO 2021, virtual event, October 11-13, 2021, proceedings / / George Bebis [and four others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (91 pages) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Bioinformatics
Oncology - Data processing |
| ISBN | 3-030-91241-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Classification of Skin Cancer : Using Deep Learning as a Tool for Skin Self-examinations / Kristen Anderson, Sharon S. Hori -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning / Hayan Lee, Gilbert Feng, Ed Esplin, Michael Snyder -- Role of Hydrophobicity in Peptide-MHC Binding / Arnav Solanki, Marc Riedel, James Cornette, Julia Udell, Ishaan Koratkar, and George Vasmatzis -- Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions : An LSTM-Based Approach to Surrogate an Agent-Based Model / David Bernard, Anthony Kobanda, and Sylvain Cussat-Blanc -- Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments / Tina Ghodsi Asnaashari and Young Hwan Chang -- Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model / Teddy Lazebnik and Svetlana Bunimovich-Mendrazitsky -- Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy / Josua Aponte-Serrano and Amit Hagar. |
| Record Nr. | UNISA-996464386203316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Mathematical and computational oncology : third international symposium, ISMCO 2021, virtual event, October 11-13, 2021, proceedings / / George Bebis [and four others], editors
| Mathematical and computational oncology : third international symposium, ISMCO 2021, virtual event, October 11-13, 2021, proceedings / / George Bebis [and four others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (91 pages) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Bioinformatics
Oncology - Data processing |
| ISBN | 3-030-91241-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Classification of Skin Cancer : Using Deep Learning as a Tool for Skin Self-examinations / Kristen Anderson, Sharon S. Hori -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning / Hayan Lee, Gilbert Feng, Ed Esplin, Michael Snyder -- Role of Hydrophobicity in Peptide-MHC Binding / Arnav Solanki, Marc Riedel, James Cornette, Julia Udell, Ishaan Koratkar, and George Vasmatzis -- Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions : An LSTM-Based Approach to Surrogate an Agent-Based Model / David Bernard, Anthony Kobanda, and Sylvain Cussat-Blanc -- Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments / Tina Ghodsi Asnaashari and Young Hwan Chang -- Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model / Teddy Lazebnik and Svetlana Bunimovich-Mendrazitsky -- Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy / Josua Aponte-Serrano and Amit Hagar. |
| Record Nr. | UNINA-9910513590203321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
