Anatomical Variation and Clinical Diagnosis
| Anatomical Variation and Clinical Diagnosis |
| Autore | Smith Heather F |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (187 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
aberrant obturator artery
aberrant subclavian artery ACDF anatomic landmarks anatomic variation anatomical landmarks anatomical variation anatomical variations anatomographical variation anatomy anatomy and histology ankle arteria lusoria artery tortuosity bulbs of the vestibule cancellous bone density celiac artery celiac artery compression syndrome cortical bone thickness dental cone-beam computed tomography dental implant site diaphragm dysphagia lusoria Ethiopian population external iliac branching variations fibula First metatarsal head foot forearm gynecologic oncology hereditary multiple exostoses inferior thyroid artery internal iliac branching variations jawbone kinked vertebral artery Kommerell's diverticulum learning strategies M sternalis median arcuate ligament syndrome mediolateral episiotomy metatarsal bones midline episiotomy nail deformity nail matrix nails order of innervation pelvic lymph nodes pelvic lymphadenectomy perineal nerve pneumatization posterior interosseous nerve radial nerve radiological health recurrent laryngeal nerve retroesophageal right subclavian artery septation special issues sphenoid sinus superficial branch of radial nerve superior mesenteric artery tendons thyroidectomy tibia toe joint toe phalanges valgus variation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557789203321 |
Smith Heather F
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and Machine Learning for Cancer Biology
| Bioinformatics and Machine Learning for Cancer Biology |
| Autore | Wan Shibiao |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
tumor mutational burden
DNA damage repair genes immunotherapy biomarker biomedical informatics breast cancer estrogen receptor alpha persistent organic pollutants drug-drug interaction networks molecular docking NGS ctDNA VAF liquid biopsy filtering variant calling DEGs diagnosis ovarian cancer PUS7 RMGs CPA4 bladder urothelial carcinoma immune cells T cell exhaustion checkpoint architectural distortion image processing depth-wise convolutional neural network mammography bladder cancer Annexin family survival analysis prognostic signature therapeutic target R Shiny application RNA-seq proteomics multi-omics analysis T-cell acute lymphoblastic leukemia CCLE sitagliptin thyroid cancer (THCA) papillary thyroid cancer (PTCa) thyroidectomy metastasis drug resistance biomarker identification transcriptomics machine learning prediction variable selection major histocompatibility complex bidirectional long short-term memory neural network deep learning cancer incidence mortality modeling forecasting Google Trends Romania ARIMA TBATS NNAR |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595077403321 |
Wan Shibiao
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| Basel, : MDPI Books, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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