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| Detecting outliers in segmented genomes of flu virus using an alignment-free approach |
| Mosaab Daoud |
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Genomics Inform. 2020;18(1):e2 Published online March 31, 2020 DOI: https://doi.org/10.5808/GI.2020.18.1.e2 |
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Detecting outliers in segmented genomes of flu virus using an alignment-free approach Genomics & Informatics. 2020;18(1):e2  A phylogenetic approach to detecting reassortments in viruses with segmented genomes Gene. 2010;464(1-2):11-16 Detecting Outliers Data Analysis Using SAS Enterprise Guide. 2009;119-129 Analysis of multipartite bacterial genomes using alignment free and alignment-based pipelines Archives of Microbiology. 2022;205(1): A novel approach for detecting outliers by using Isolation Forest with reducing under fitting issue . 2022; Alignment-free phylogeny of whole genomes using underlying subwords Algorithms for Molecular Biology. 2012;7(1): Packaging, replication and recombination of the segmented genomes of bacteriophage Φ6 and its relatives Virus Research. 2004;101(1):83-92 Alignment-Free Analyses of Nucleic Acid Sequences Using Graphical Representation (with Special Reference to Pandemic Bird Flu and Swine Flu) Synthetic Biology. 2018;141-188 Surveillance of illness associated with pandemic (H1N1) 2009 virus infection among adults using a global clinical site network approach: The INSIGHT FLU 002 and FLU 003 studies Vaccine. 2011;29:B56-B62 Identification of Outliers in Data Envelopment Analysis Schmalenbach Business Review. 2019;71(4):475-496 |
