Book ; Online: Bioinformatics and Machine Learning for Cancer Biology
2022
Keywords | Research & information: general ; Biology, life sciences ; 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 ; n/a ; 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 |
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Language | English |
Size | 1 electronic resource (196 pages) |
Publisher | MDPI - Multidisciplinary Digital Publishing Institute |
Publishing place | Basel |
Document type | Book ; Online |
Note | English |
HBZ-ID | HT030378719 |
ISBN | 9783036548135 ; 3036548130 |
Database | ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture |
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