Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications

Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications

Mallik, Saurav
Gaur, Loveleen
Seth, Soumita

Hardcover

Series: River Publishers Biotechnology and Medical Research

Technology & EngineeringGeneral Computers

ISBN10: 8770041512
ISBN13: 9788770041515
Publisher: River Publishers
Published: Oct 23 2024
Pages: 176
Weight: 1.01
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English

This book focuses on an eminent technology called next generation sequencing (NGS) which has entirely changed the procedure of examining organisms and will have a great impact on biomedical research and disease diagnosis. Numerous computational challenges have been brought on by the rapid advancement of large-scale next-generation sequencing (NGS) technologies and their application. The term biomedical imaging refers to the use of a variety of imaging techniques (such as X-rays, CT scans, MRIs, ultrasounds, etc.) to get images of the interior organs of a human being for potential diagnostic, treatment planning, follow-up, and surgical purposes. In these circumstances, deep learning, a new learning method that uses multi-layered artificial neural networks (ANNs) for unsupervised, supervised, and semi-supervised learning, has attracted a lot of interest for applications to NGS and imaging, even when both of these data are used for the same group of patients.

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