Exploratory Data Analysis and Prediction of Human Genetic Disorder and Species Using DNA Sequencing-Reference-Cited by-同舟云学术

Exploratory Data Analysis and Prediction of Human Genetic Disorder and Species Using DNA Sequencing

Published:2023 Issue: Volume: Page:197-213
ISSN:2367-3370
Container-title:Proceedings of the Future Technologies Conference (FTC) 2023, Volume 2
language:
Short-container-title:

Author:

Upadhyay Vedanshee,Harbhajanka Sakshi,Pangaonkar Satyajit,Gunjan Reena

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47451-4_14

Reference33 articles.

1. Sanders, S.J.: First glimpses of the neurobiology of autism spectrum disorder. Curr. Opin. Genet. Dev. 33, 80–92 (2015)

2. Schizophrenia working group of the psychiatric genomics consortium: biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014)

3. Jamie, P., et al.: Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the sustainable development goals. Lancet 388, 3027–3035 (2017)

4. Bzdok, D., Altman, N., Krzywinski, M.: Statistics versus machine learning. Nature 15, 233–234 (2018)

5. Mistry, J., Finn, R.D., Eddy, S.R., Bateman, A., Punta, M.: Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions. Nucleic Acids Res. 41(12), e121-e (2013)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cracking the Genetic Codes: Exploring DNA Sequence Classification with Machine Learning Algorithms and Voting Ensemble Strategies;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08