Machine Learning Methods for Multi-Omics Data Integration
Idioma: inglés
Editorial: Springer, 2023
- Tapa dura
- Nuevo
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Vendedor de IberLibro desde 25 de marzo de 2015
Condición: Nuevo
EUR 225,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDescripción del artículo del vendedor
In English.
N° de ref. del artículo ria9783031365010_new
- Título
- Machine Learning Methods for Multi-Omics Data Integration
- Editorial
- Springer
- Año de publicación
- 2023
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 3031365011
- ISBN 13
- 9783031365010
- Peso del artículo
- 547 gramos
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integrating these large-scale heterogeneous data sets into one learning model.
This book overviews the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validation. It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others. The book categorizes different levels of integrations, ranging from early, middle, or late-stage among multi-view models. The underlying models target different objectives, such as knowledge discovery, pattern recognition, disease-related biomarkers, and validation tools for multi-omics data.
Finally, the book emphasizes practical applications and case studies, making it an essential resource for researchers and practitioners looking to apply machine learning to their multi-omics data sets. The book covers data preprocessing, feature selection, and model evaluation, providing readers with a practical guide to implementing machine learning techniques on various multi-omics data sets.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Abedalrhman Alkhateeb earned his Bachelor's degree in Computer Science from the University of Jordan, Amman, Jordan, in 2004, and his MSc and Ph.D. in Computer Science from the University of Windsor, Canada, in 2011 and 2018, respectively. He is currently an Assistant Professor at Princess Sumaya University for Technology in Amman, Jordan. Previously, he served as an Assistant Professor and Mitacs Accelerate Postdoctoral Fellow at the University of Windsor, Canada. His research interests include machine learning, deep learning, bioinformatics, and health informatics.
Abedalrhman Alkhateeb has authored and co-authored more than 50 papers in prestigious journals and conferences. He also organized a workshop titled “MODI: Machine Learning Models for Multi-omics Data Integration” for three consecutive years from 2019 to 2021 in conjunction with ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB). His recent research focuses on the health outcomes of various types of cancers. He has gained industrial experience as a bioinformatician and data analyst in several organizations, including ITOS Oncology Inc. and BlackBerry Limited in Canada, and UAE University in the United Arab Emirates. Luis Rueda received his Bachelor’s degree in computer science from the National University of San Juan, Argentina, in 1993, and his Master’s and Ph.D. degrees in computer science from Carleton University, Canada, in 1998 and 2002, respectively. He is currently a Full Professor in the School of Computer Science at the University of Windsor. His current research interests are mainly focused on devising shallow and deep machine learning and representation learning algorithms at the fundamental level and applications in bioinformatics and cybersecurity to problems in biomedical imaging, transcriptomics, integrative genome-wide data analysis, identification of cancer biomarkers, user authentication, spam review detection and social engineering. Luis Rueda holds four patents on machine learning and cybersecurity and has more than 200 publications and presentations in prestigious journals and conferences in machine learning, computational biology, and cybersecurity. He currently serves as Associate Editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics, and Network Modeling Analysis in Health Informatics and Bioinformatics. He is also a member of the program committees of several conferences in the field. He is also a Senior Member of the IEEE, and a Member of t
“Acerca de” puede pertenecer a otra edición de este título.
Ria Christie Collections
Uxbridge, Reino Unido
Vendedor de IberLibro desde 25 de marzo de 2015
Tarifas de envío de Reino Unido a Estados Unidos de America
| Artículo | De 6 a 12 días hábiles | De 6 a 12 días hábiles |
|---|---|---|
| Primer artículo | EUR 13,32 | EUR 15,33 |
Métodos de pago
Descripción de la tienda
Hello! Ria Christie Collections is an online venture that was initially set up in 2012 to sell books. We do not have a physical high street store. We are professional online booksellers. We only sell brand new books in perfect condition that we source from various suppliers and the publishers. Primarily, our aim is to provide an excellent service to all our customers. We always work as a team to achieve this. Our other objectives are to: 1. Ensure that all our products reach their destination quickly in a safe and secure manner 2. Answer to all our customer queries within 24 hours 3. Ensure that our customers are happy with their purchases 4. Provide all the items at a competitive price 5. Always listen to our customers Ria Christie Collections is not a registered company. It is a Sole Trader venture. Other key information is shown below: Contact Person Name: Rakesh Luchmun (Mr) Storefront Name: Ria Christie Collections Place of Establishment Address: Suite B; ARUN House; ARUN Building Arundel Road Uxbridge UB8 2RR United Kingdom E-Mail Address: riachristie@hotmail.co.uk VAT Number: GB 160 5650 25 We always work hard and aim to comply with all of Abebooks Policies. If you have any issues, please do not hesitate to write to us whether before or after a purchase. We promise to reply to you promptly and, in any case, within 24 hours. Thank you kindly! Yours sincerely Mr Rakesh Luchmun (Founder) and the Ria Christie Collections Team…
Especialidad
Educational books, Textbooks, Fiction, Non- fictionInformación empresarial del vendedor
Ryefield Investments Limited
175 Pield Heath Road
Uxbridge, Reino Unido UB8 3NL
Condiciones de venta
All Returns and Refund are as per Abebooks policies.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a Ria Christie Collections, Uxbridge, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Orders usually ship within 2 business days. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required. Thank you!