Artificial intelligence cell genetic (20 Ergebnisse)
Sprache: Englisch
Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Hardcover. Zustand: new. Hardcover. This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this… book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Sprache: Englisch
Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Sprache: Englisch
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Hardcover. Zustand: new. Hardcover. This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this… book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Sprache: Englisch
Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Verlag: Humana Pr Inc, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Sprache: Englisch
Verlag: Springer Verlag GmbH, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Sprache: Englisch
Verlag: Humana Jun 2025, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in are…as of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering. 508 pp. Englisch.
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Verlag: Springer-Verlag New York Inc., New York, NY, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Hardcover. Zustand: new. Hardcover. This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this… book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Humana Jun 2025, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
- Hardcover
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas o…f cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 508 pp. Englisch.
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Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of… cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.
Sprache: Englisch
Verlag: Humana, 2025
Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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Serie: Methods in Molecular Biology, Buch 310 von 382. Buch 310 von 382 - Methods in Molecular Biology
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