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Gebunden. Condition: New. KlappentextrnrnA Heathen s Guide is a work that took five to seven years to make. It is the compendium of experiences that I ve had with the Norse gods and spirit work. This book is designed to act as a guide to magic & spirit work, so that it m.
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Buch. Condition: Neu. Neuware - A Heathen's Guide is a work that took five to seven years to make. It is the compendium of experiences that I've had with the Norse gods and spirit work. This book is designed to act as a guide to magic & spirit work, so that it may provide insight to practitioners, new or old, with how to worship and connect to the old gods. It contains instructions of such work and precautions you should take, along with my own opinions of the Heathen community at large and devotionals to the gods I honour.
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Published by Springer-Verlag New York Inc., New York, NY, 2025
ISBN 10: 1071646222 ISBN 13: 9781071646229
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Hardcover. Condition: new. Hardcover. This book presents a comprehensive collection of methods, resources, and studies that use large language models (LLMs) in the field of protein bioinformatics. Reflecting the swift pace of LLM development today, the volume delves into numerous LLM-based tools to investigate proteins science, from protein language models to the prediction of protein-ligand binding sites. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice to ensure success in future research. Authoritative and practical, Large Language Models (LLMs) in Protein Bioinformatics serves as an ideal guide for scientists seeking to tap into the potential of artificial intelligence in this vital area of biological study. Reflecting the swift pace of LLM development today, the volume delves into numerous LLM-based tools to investigate proteins science, from protein language models to the prediction of protein-ligand binding sites. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condition: Neu. Computational Methods for Predicting Post-Translational Modification Sites | Dukka B. Kc | Taschenbuch | xvii | Englisch | 2023 | Humana | EAN 9781071623190 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ISBN 10: 1071623192 ISBN 13: 9781071623190
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successfulMethods in Molecular Biologyseries, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge,Authoritative and cutting-edge,Computational Methods for Predicting Post-Translational Modification Sites aimsto be ausefulguide for researchers who are interested in the field of PTM site prediction.
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Add to basketPaperback. Condition: Brand New. translation edition. 343 pages. 10.00x7.01x0.72 inches. In Stock.
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ISBN 10: 1071623168 ISBN 13: 9781071623169
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successfulMethods in Molecular Biologyseries, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge,Authoritative and cutting-edge,Computational Methods for Predicting Post-Translational Modification Sites aimsto be ausefulguide for researchers who are interested in the field of PTM site prediction.
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Add to basketHardcover. Condition: Brand New. 380 pages. 10.01x7.01x10.00 inches. In Stock.
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Published by Springer-Verlag New York Inc., New York, NY, 2025
ISBN 10: 1071646222 ISBN 13: 9781071646229
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Hardcover. Condition: new. Hardcover. This book presents a comprehensive collection of methods, resources, and studies that use large language models (LLMs) in the field of protein bioinformatics. Reflecting the swift pace of LLM development today, the volume delves into numerous LLM-based tools to investigate proteins science, from protein language models to the prediction of protein-ligand binding sites. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice to ensure success in future research. Authoritative and practical, Large Language Models (LLMs) in Protein Bioinformatics serves as an ideal guide for scientists seeking to tap into the potential of artificial intelligence in this vital area of biological study. Reflecting the swift pace of LLM development today, the volume delves into numerous LLM-based tools to investigate proteins science, from protein language models to the prediction of protein-ligand binding sites. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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