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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integrative Multi-Omics in Biomedical Research
| Integrative Multi-Omics in Biomedical Research |
| Autore | Gerner Christopher |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (178 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
acute myeloid leukemia
analysis flow anti-angiogenesis ATRA Barrett's esophagus batch variations bioinformatics cardiac metaplasia cGAS cheminformatics curcumin DNA sensing eicosanoids endometriosis esophageal adenocarcinoma exercise fetal calf serum heart HL-60 cell line host-pathogen interactions IFI16 induced differentiation inflammation innate immunity key molecules label-free method for drugs lipid lipidomics machine learning macrophages mass spectrometry mechanism of action metabolomics microbiota multi-omics multi-omics analysis myocardial infarction (MI) n/a natural products peroxisomes planned myocardial infarction (PMI) post-translational modifications protein interactions proteome proteomics receptor tyrosine kinases regulatory pathway modelling secretome SRM study design target identification target validation transcription factors transcriptome transcriptomics virus-host interactions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557769003321 |
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Gerner Christopher
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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