Artificial neural networks
著者
書誌事項
Artificial neural networks
（Methods in molecular biology / John M. Walker, series editor, vol. 2190）（Springer protocols）
Humana Press, c2021
3rd ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Artificial Neural Networks: Third Edition should be of value to all scientists interested in the hands-on application of ANNs in the biosciences.
目次
1. Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis Edward Airey, Stephanie Portelli, Joicymara S. Xavier, YooChan Myung, Michael Silk, Malancha Karmakar, Joao P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, Pamela M. Rezende, Douglas E.V. Pires, and David B. Ascher
2. Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Christian Bock, Michael Moor, Catherine R. Jutzeler, and Karsten Borgwardt
3. Siamese Neural Networks: An Overview
Davide Chicco
4. Computational Methods for Elucidating Gene Expression Regulation in Bacteria
Kratika Naskulwar, Ruben Chevez-Guardado, and Lourdes Pena-Castillo
5. Neuro-evolutive Algorithms Applied for Modeling Some Biochemical Separation Processes
Silvia Curteanu, Elena-Niculina Dragoi, Alexandra Cristina Blaga, Anca Irina Galaction, and Dan Cascaval
6. Computational Approaches for de novo Drug Design: Past, Present, and Future
Xuhan Liu, Adriaan P. IJzerman, and Gerard J. P. van Westen
7. Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology Irene Lena Hudson
8. Building and Interpreting Artificial Neural Network Models for Biological Systems
T. Murlidharan Nair
9. A Novel Computational Approach for Biomarker Detection for Gene Expression based Computer Aided Diagnostic Systems for Breast Cancer Ali Al-Yousef and Sandhya Samarasinghe
10. Applying Machine Learning for Integration of Multi-modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues
Xiao Tan, Andrew T Su, Hamideh Hajiabadi, Minh Tran, and Quan Nguyen
11. Leverage Large-scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning
Hao Wang, Jiaxin Yang, and Jianrong Wang
12. Predicting Host Phenotype based on Gut Microbiome using a Convolutional Neural Network Approach
Derek Reiman, Ali M. Farhat, and Yang Dai
13. Predicting Hot-Spots using a Deep Neural Network Approach
Antonio J. Preto, Pedro Matos-Filipe, Jose G. Almeida, Joana Mourao, and Irina S. Moreira
14. Using Neural Networks for Relation Extraction from Biomedical Literature
Diana Sousa, Andre Lamurias, and Francisco M. Couto
15. A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models
Eshel Faraggi, Robert L. Jernigan, and Andrzej Kloczkowski
16. Secure and Scalable Collection of Biomedical Data for Machine Learning Applications
Charles Fracchia
17. AI-based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases
Mario Malcangi
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