Computational intelligence epigenetics cellular (2 résultats)

Hardcover. Etat : new. Hardcover. This book analyzes the integrated model of artificial intelligence, deep learning, and cloud computing for various bioinformatic problems, including gene signature discovery, rare cell detection, disease classification, and rare disease detection. It discusses biomedical image processing and deep learning integrated tools for the stage detection of critical diseases like cancer. This book:Presents a comparative study of gradientboosted classifier and deep learning classifier for disease classification of multiomics sequencing dataShowcases biomarker discovery and differential expression analysis in singlecell RNA sequencing data through the integrated model of data imputation, feature selection and cell clusteringExplains artificial intelligence, machine learning, and integrated models for DNA methylation and gene expression data analysis and disease classificationCovers the fundamentals of artificial intelligence, machine learning, deep learning, and cloud computing tools in bioinformaticsExplores rare cell detection and transcriptomic analysis in singlecell RNA sequencingIt is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering. This reference text analyzes the integrated model of artificial intelligence, deep learning, and cloud computing for various bioinformatic problems including gene signature discovery, rare cell detection, disease classification, and rare disease detection. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. This book analyzes the integrated model of artificial intelligence, deep learning, and cloud computing for various bioinformatic problems, including gene signature discovery, rare cell detection, disease classification, and rare disease detection. It discusses biomedical image processing and deep learning integrated tools for the stage detection of critical diseases like cancer. This book:Presents a comparative study of gradientboosted classifier and deep learning classifier for disease classification of multiomics sequencing dataShowcases biomarker discovery and differential expression analysis in singlecell RNA sequencing data through the integrated model of data imputation, feature selection and cell clusteringExplains artificial intelligence, machine learning, and integrated models for DNA methylation and gene expression data analysis and disease classificationCovers the fundamentals of artificial intelligence, machine learning, deep learning, and cloud computing tools in bioinformaticsExplores rare cell detection and transcriptomic analysis in singlecell RNA sequencingIt is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering. This reference text analyzes the integrated model of artificial intelligence, deep learning, and cloud computing for various bioinformatic problems including gene signature discovery, rare cell detection, disease classification, and rare disease detection. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…