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Enhancing The Felsenstein Method To Reinvigorate Phylogenetic Starting In The Big Data | IEEE Conference Publication | IEEE Xplore

Enhancing The Felsenstein Method To Reinvigorate Phylogenetic Starting In The Big Data


Abstract:

The present research examines how the Felsenstein approach might be improved in light of huge data and evolutionary inference. The Felsenstein approach, phylogeny startin...Show More

Abstract:

The present research examines how the Felsenstein approach might be improved in light of huge data and evolutionary inference. The Felsenstein approach, phylogeny starting points, huge data, statistical techniques, and testing hypotheses are among the important ideas and terms covered in the overview. It emphasizes the importance of repeatability in evolutionary inferences as well as the difficulties brought on by rogue genera and bootstrapping proportions. The article suggests a brand-new strategy to increase the accuracy of phylogenetic investigations that makes use of transfer separation and bipartition distance. The abstract's conclusion emphasizes the need of better methods for managing huge datasets and for recognizing instability taxonomic.
Date of Conference: 14-16 September 2023
Date Added to IEEE Xplore: 26 January 2024
ISBN Information:
Conference Location: Gautam Buddha Nagar, India

References

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