Adaptive Exon Prediction Using Maximum Error Normalized Algorithms-Reference-Cited by-同舟云学术

Adaptive Exon Prediction Using Maximum Error Normalized Algorithms

Published:2022 Issue: Volume: Page:511-523
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
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Author:

Zıa Ur Rahman Md.^ORCID,Vardhan Baligodugula Vishnu^ORCID,Jenith Lakkakula^ORCID,Rakesh Reddy Veeramreddy^ORCID,Surekha Sala^ORCID,Srinivasareddy Putluri^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6332-1_44

Reference27 articles.

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3. Singh AK, Kumar Srivastava V (2020) The three base periodicity of protein coding sequences and its application in exon prediction. In: 2020 7th international conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2020, pp 1089–1094. https://doi.org/10.1109/SPIN48934.2020.9071068

4. Maji S, Garg D (2013) Progress in gene prediction: principles and challenges. Curr Bioinform 8:226–243

5. SrinivasareddyP, Zia Ur Rahman Md (2016) New adaptive exon predictors for identifying protein coding regions in DNA sequence. ARPN J Theor Appl Sci 11:13540–13549

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