Revolutionizing genomics with reinforcement learning techniques
In recent years, Reinforcement Learning (RL) has emerged as a powerful tool for solving a
wide range of problems, including decision-making and genomics. The exponential growth …
wide range of problems, including decision-making and genomics. The exponential growth …
Player-guided AI outperforms standard AI in sequence alignment puzzles
R Mutalova, R Sarrazin-Gendron… - Proceedings of The …, 2023 - dl.acm.org
Although Artificial Intelligence (AI) has gained widespread popularity across different fields,
it is essential to recognize that AI systems, while impressive, do not consistently exhibit …
it is essential to recognize that AI systems, while impressive, do not consistently exhibit …
[PDF][PDF] A survey for the methods of detection and classification of genetic mutations
RH Saloom, HK Khafaji - Indonesian Journal of Electrical …, 2022 - academia.edu
Research into pathogenic mutations is vital and useful for understanding illness
progression, prognosis, and gene-disease connections. Furthermore, pathogenic mutations …
progression, prognosis, and gene-disease connections. Furthermore, pathogenic mutations …
Comparative Analysis of Machine Learning Algorithms for DNA Sequencing
MSA Vigil, A Christofer, M Chandar… - 2023 Winter Summit on …, 2023 - ieeexplore.ieee.org
A genome consists of the genetic information of the organism. Sequencing millions of DNA
molecules in a human individual provides the information about the genetic makeup to the …
molecules in a human individual provides the information about the genetic makeup to the …
DNA Sequencing Using Machine Learning Algorithms
MSA Vigil, M Mirutuhula, S Sarvagna… - … Conference on Data …, 2022 - ieeexplore.ieee.org
A genome consists of the genetic information of the organism. Sequencing thousands and
millions of DNA molecules in a human individual gives the doctor the information about the …
millions of DNA molecules in a human individual gives the doctor the information about the …
[PDF][PDF] Computational Breakthroughs in Aquatic Taxonomy: The Role of Deep Learning and DNA Barcoding
N Kasianchuk, S Harkava… - Proceedings of the …, 2024 - opendata.uni-halle.de
8 Anhalt University of Applied Sciences, Bernburger Str. 57, 06366 Köthen, Germany 9
University of Rostock, Albert Einstein Str. 3, 19059 Rostock, Germany 10 Department of …
University of Rostock, Albert Einstein Str. 3, 19059 Rostock, Germany 10 Department of …
Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning
ZHQ Chofsoh, I Mukhlash, M Iqbal… - … Conference on Practical …, 2023 - Springer
COVID-19 can mutate rapidly, resulting in new variants which could be more malignant. To
recognize the new variant, we must identify the mutation parts by locating the nucleotide …
recognize the new variant, we must identify the mutation parts by locating the nucleotide …
Applications of Machine Learning and Deep Learning in Genomics and Proteomics
U Hameed - Applications of Machine Learning and Deep …, 2023 - taylorfrancis.com
Bioinformatics is an interdisciplinary field of molecular biology, genetics, computer science,
mathematics, and statistics that develops tools to store, retrieve and analyze biological data …
mathematics, and statistics that develops tools to store, retrieve and analyze biological data …
Pairwise Sequence Alignment in Biological Sequences using Machine Learning
S Rajesh, PJS Krishna - 2023 Second International …, 2023 - ieeexplore.ieee.org
Sequence alignment is a method of positioning two (Pairwise Alignment) or more (Multiple
Sequence Alignment) biological sequences of characters (such as DNA, RNA, or Protein …
Sequence Alignment) biological sequences of characters (such as DNA, RNA, or Protein …