DNA Damage Recognition, 

Автор: Ronald S.S. Fraser
Название: Recognition and Response in Plant-Virus Interactions
ISBN: 3642741665 ISBN-13(EAN): 9783642741661
Издательство: Springer
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Цена: 121110.00 T
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Описание: Proceedings of the NATO Advanced Research Workshop on Recognition and Response in Plant-Virus Interactions, held at Chichester, West Sussex, U.K., April 12-16, 1989

Автор: Martel Anne L., Abolmaesumi Purang, Stoyanov Danail
Название: Medical Image Computing and Computer Assisted Intervention - Miccai 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, P
ISBN: 3030597156 ISBN-13(EAN): 9783030597153
Издательство: Springer
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Цена: 93160.00 T
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Описание: The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020.

Автор: Andr? Gagalowicz; Wilfried Philips
Название: Computer Vision/Computer Graphics Collaboration Techniques
ISBN: 3642018106 ISBN-13(EAN): 9783642018107
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book constitutes the refereed proceedings of the 4th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2009, held in Rocquencourt, France, in May 2009.

Автор: Alexander Sigalov
Название: Multichain Immune Recognition Receptor Signaling
ISBN: 1441918876 ISBN-13(EAN): 9781441918871
Издательство: Springer
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Цена: 213360.00 T
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Описание: This book shows how the structural similarity of MIRRs determines the general principles underlying MIRR-mediated transmembrane signaling mechanisms. In so doing, it provides the basis for existing and future therapeutic strategies targeting MIRRs.

Автор: Hans-Joachim Anders; Adriana Migliorini
Название: Innate DNA and RNA Recognition
ISBN: 1493908812 ISBN-13(EAN): 9781493908813
Издательство: Springer
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Цена: 139750.00 T
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Описание: Innate DNA and RNA Recognition

Автор: Syeda-Mahmood Tanveer, Drechsler Klaus, Greenspan Hayit
Название: Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDs 2020, and 9th International
ISBN: 3030609456 ISBN-13(EAN): 9783030609450
Издательство: Springer
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Цена: 46570.00 T
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Описание: CLIP 2020.- Optimal Targeting Visualizations for Surgical Navigation of Iliosacral Screws.- Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.- A Radiomics-based Machine Learning Approach to Assess Collateral Circulation in Stroke on Non-contrast Computed Tomography.- Image-based Subthalamic Nucleus Segmentation for Deep Brain Surgery With Electrophysiology Aided Refinement.- 3D Slicer Craniomaxillofacial Modules Support Patient-specific Decision-making for Personalized Healthcare in Dental Research.- Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision.- Single-shot Deep Volumetric Regression for Mobile Medical Augmented Reality.- A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge.- Adversarial Prediction of Radiotherapy Treatment Machine Parameters.- ML-CDS 2020.- Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data.- Towards Automated Diagnosis with Attentive Multi-Modal Learning Using Electronic Health Records and Chest X-rays.- LUCAS: LUng CAncer Screening with Multimodal Biomarkers.- Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound.

Автор: Concha Bielza, Pedro Larranaga
Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
ISBN: 110849370X ISBN-13(EAN): 9781108493703
Издательство: Cambridge Academ
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Цена: 85530.00 T
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Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.

Автор: Anna Rita Bizzarri, Salvatore Cannistraro
Название: Dynamic Force Spectroscopy and Biomolecular Recognition
ISBN: 1138374520 ISBN-13(EAN): 9781138374522
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: Molecular recognition, also known as biorecognition, is the heart of all biological interactions. Originating from protein stretching experiments, dynamic force spectroscopy (DFS) allows for the extraction of detailed information on the unbinding process of biomolecular complexes. It is becoming progressively more important in biochemical studies and is finding wider applications in areas such as biophysics and polymer science. In six chapters, Dynamic Force Spectroscopy and Biomolecular Recognition covers the most recent ideas and advances in the field of DFS applied to biorecognition: Chapter 1: Reviews the basic and novel aspects of biorecognition and discusses the emerging capabilities of single-molecule techniques to disclose kinetic properties and molecular mechanisms usually hidden in bulk measurements Chapter 2: Describes the basic principle of atomic force microsocopy (AFM) and DFS, with particular attention to instrumental and theoretical aspects more strictly related to the study of biomolecules Chapter 3: Overviews the theoretical background in which experimental data taken in nonequilibrum measurements of biomolecular unbinding forces are extrapolated to equilibrium conditions Chapter 4: Reviews the most common and efficient strategies adopted in DFS experiments to immobilize the interacting biomolecules to the AFM tip and to the substrate Chapter 5: Presents and discusses the most representative aspects related to the analysis of DFS data and the challenges of integrating well-defined criteria to calibrate data in automatic routinary procedures Chapter 6: Overviews the most relevant DFS applications to study biorecognition processes, including the biotin/avidin pair, and selected results on various biological complexes, including antigen/antibody, proteins/DNA, and complexes involved in adhesion processes Chapter 7: Summarizes the main results obtained by DFS applied to study biorecognition processes with forthcoming theoretical and experimental advances Although DFS is a widespread, worldwide technique, no books focused on this subject have been available until now. Dynamic Force Spectroscopy and Biomolecular Recognition provides the state of the art of experimental data analysis and theoretical procedures, making it a useful tool for researchers applying DFS to study biorecognition processes.

Автор: A.W. Coleman
Название: Molecular Recognition and Inclusion
ISBN: 9401062269 ISBN-13(EAN): 9789401062268
Издательство: Springer
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Цена: 186330.00 T
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Описание: This volume presents articles on the developing field of molecular interactions, molecular recognition, crystal engineering, and structural determination of complex molecular systems. The approaches described are interdisciplinary in nature, reflecting the concept of the ISMRI series of symposia.

Автор: Sankar K. Pal; Shubhra S. Ray; Avatharam Ganivada
Название: Granular Neural Networks, Pattern Recognition and Bioinformatics
ISBN: 3319571133 ISBN-13(EAN): 9783319571133
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models.

Автор: Jagath C.- Rajapakse; Bertil Schmidt; Gwenn Volker
Название: Pattern Recognition in Bioinformatics
ISBN: 3540752854 ISBN-13(EAN): 9783540752851
Издательство: Springer
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Цена: 81050.00 T
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Описание: Constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2007, held in Singapore in October 2007. This book includes papers that discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences.

Автор: Gabor T. Herman
Название: Fundamentals of Computerized Tomography
ISBN: 1447125215 ISBN-13(EAN): 9781447125211
Издательство: Springer
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Цена: 121110.00 T
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Описание: This revised and updated edition presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics include fast calculation of a ray sum in a digitized image and the task-oriented comparison of reconstruction algorithm performance.