Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More /
نام نخستين پديدآور
Bharath Ramsundar, Peter Eastman, Patrick Walters, and Vijay Pande.
وضعیت ویراست
وضعيت ويراست
First edition.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Sebastopol, CA :
نام ناشر، پخش کننده و غيره
O'Reilly Media,
تاریخ نشرو بخش و غیره
2019.
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource
يادداشت کلی
متن يادداشت
Includes index.
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Copyright; Table of Contents; Preface; Conventions Used in This Book; Using Code Examples; O'Reilly Online Learning; How to Contact Us; Acknowledgments; Chapter 1. Why Life Science?; Why Deep Learning?; Contemporary Life Science Is About Data; What Will You Learn?; Chapter 2. Introduction to Deep Learning; Linear Models; Multilayer Perceptrons; Training Models; Validation; Regularization; Hyperparameter Optimization; Other Types of Models; Convolutional Neural Networks; Recurrent Neural Networks; Further Reading; Chapter 3. Machine Learning with DeepChem; DeepChem Datasets
متن يادداشت
Electron and Atomic Force MicroscopySuper-Resolution Microscopy; Deep Learning and the Diffraction Limit?; Preparing Biological Samples for Microscopy; Staining; Sample Fixation; Sectioning Samples; Fluorescence Microscopy; Sample Preparation Artifacts; Deep Learning Applications; Cell Counting; Cell Segmentation; Computational Assays; Conclusion; Chapter 8. Deep Learning for Medicine; Computer-Aided Diagnostics; Probabilistic Diagnoses with Bayesian Networks; Electronic Health Record Data; The Dangers of Large Patient EHR Databases?; Deep Radiology; X-Ray Scans and CT Scans; Histology
متن يادداشت
MRI ScansLearning Models as Therapeutics; Diabetic Retinopathy; Conclusion; Ethical Considerations; Job Losses; Summary; Chapter 9. Generative Models; Variational Autoencoders; Generative Adversarial Networks; Applications of Generative Models in the Life Sciences; Generating New Ideas for Lead Compounds; Protein Design; A Tool for Scientific Discovery; The Future of Generative Modeling; Working with Generative Models; Analyzing the Generative Model's Output; Conclusion; Chapter 10. Interpretation of Deep Models; Explaining Predictions; Optimizing Inputs; Predicting Uncertainty
متن يادداشت
Protein StructuresProtein Sequences; A Short Primer on Protein Binding; Biophysical Featurizations; Grid Featurization; Atomic Featurization; The PDBBind Case Study; PDBBind Dataset; Featurizing the PDBBind Dataset; Conclusion; Chapter 6. Deep Learning for Genomics; DNA, RNA, and Proteins; And Now for the Real World; Transcription Factor Binding; A Convolutional Model for TF Binding; Chromatin Accessibility; RNA Interference; Conclusion; Chapter 7. Machine Learning for Microscopy; A Brief Introduction to Microscopy; Modern Optical Microscopy; The Diffraction Limit
متن يادداشت
Training a Model to Predict Toxicity of MoleculesCase Study: Training an MNIST Model; The MNIST Digit Recognition Dataset; A Convolutional Architecture for MNIST; Conclusion; Chapter 4. Machine Learning for Molecules; What Is a Molecule?; What Are Molecular Bonds?; Molecular Graphs; Molecular Conformations; Chirality of Molecules; Featurizing a Molecule; SMILES Strings and RDKit; Extended-Connectivity Fingerprints; Molecular Descriptors; Graph Convolutions; Training a Model to Predict Solubility; MoleculeNet; SMARTS Strings; Conclusion; Chapter 5. Biophysical Machine Learning
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Safari Books Online
شماره انبار
CL0501000044
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Deep Learning for the Life Sciences.
شماره استاندارد بين المللي کتاب و موسيقي
9781492039839
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Life sciences-- Data processing.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Life sciences-- Data processing.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
NATURE-- Reference.
موضوع مستند نشده
SCIENCE-- Life Sciences-- Biology.
موضوع مستند نشده
SCIENCE-- Life Sciences-- General.
مقوله موضوعی
موضوع مستند نشده
NAT-- 027000
موضوع مستند نشده
SCI-- 008000
موضوع مستند نشده
SCI-- 086000
رده بندی ديویی
شماره
570
ويراست
23
رده بندی کنگره
شماره رده
QH307
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2
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