Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms - Info and Reading Options
By Zia-ur Rahman and Srinivasareddy Putluri
"Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms" was published by Taylor & Francis Group in 2021 - Boca Raton, it has 192 pages and the language of the book is English.
“Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms” Metadata:
- Title: ➤ Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms
- Authors: Zia-ur RahmanSrinivasareddy Putluri
- Language: English
- Number of Pages: 192
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton
“Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms” Subjects and Themes:
- Subjects: ➤ Genomics - Nucleotide sequence - Mathematical models - Exons (Genetics) - Adaptive signal processing - Mathematics - Adaptive filters - SCIENCE / Biotechnology
Edition Identifiers:
- The Open Library ID: OL33836805M - OL25272717W
- ISBN-13: 9781000375152 - 9780367618551 - 9781000375220
- All ISBNs: 9781000375152 - 9780367618551 - 9781000375220
AI-generated Review of “Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms”:
"Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms" Description:
Open Data:
Review of literature -- Sign LMS based realization of adaptive filtering techniques for exon prediction -- Normalization based realization of adaptive filtering techniques for exon prediction -- Logarithmic based realization of adaptive filtering techniques for exon prediction -- Conclusions and future perspective
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