| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046092236 | |
| 005 | 20210913144450 | |
| 008 | 210913s2021 nyua 000 0 eng d | |
| 020 | ▼a 9781071608258 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 006.3/2 ▼2 23 |
| 084 | ▼a 006.32 ▼2 DDCK | |
| 090 | ▼a 006.32 ▼b A7912-3 | |
| 245 | 0 0 | ▼a Artificial neural networks / ▼c edited by Hugh Cartwright. |
| 250 | ▼a 3rd ed. | |
| 260 | ▼a New York : ▼b Humana Press, ▼c c2021. | |
| 300 | ▼a xii, 359 p. : ▼b col. ill. ; ▼c 26 cm. | |
| 490 | 1 | ▼a Methods in molecular biology, ▼x 1064-3745 ; ▼v 2190 |
| 490 | 1 | ▼a Springer protocols |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Neural networks (Computer science) ▼v Laboratory manuals. |
| 650 | 0 | ▼a Artificial intelligence ▼x Biological applications ▼v Laboratory manuals. |
| 650 | 2 | ▼a Neural Networks (Computer). |
| 700 | 1 | ▼a Cartwright, Hugh M., ▼d 1948-. |
| 830 | 0 | ▼a Methods in molecular biology ; ▼v 2190. |
| 830 | 0 | ▼a Springer protocols. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.32 A7912-3 | 등록번호 521006083 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
1. Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis
Edward Airey, Stephanie Portelli, Joicymara S. Xavier, YooChan Myung, Michael Silk, Malancha Karmakar, Jo?o P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, P?mela 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 Pe?a-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 BiologyIrene 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 CancerAli 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
Ant?nio J. Preto, Pedro Matos-Filipe, Jos? G. Almeida, Joana Mour?o, 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
정보제공 :
목차
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