Incorporating machine learning into established bioinformatics frameworks

N Auslander, AB Gussow, EV Koonin - International journal of molecular …, 2021 - mdpi.com
The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …

The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability

D Prihoda, JM Maritz, O Klempir, D Dzamba… - Natural Product …, 2021 - pubs.rsc.org
Covering: up to the end of 2020. The machine learning field can be defined as the study and
application of algorithms that perform classification and prediction tasks through pattern …

A survey on the algorithm and development of multiple sequence alignment

Y Zhang, Q Zhang, J Zhou, Q Zou - Briefings in bioinformatics, 2022 - academic.oup.com
Multiple sequence alignment (MSA) is an essential cornerstone in bioinformatics, which can
reveal the potential information in biological sequences, such as function, evolution and …

Playing the System: Can Puzzle Players Teach us How to Solve Hard Problems?

R Mutalova, R Sarrazin-Gendron, E Cai… - Proceedings of the …, 2023 - dl.acm.org
With nearly three billion players, video games are more popular than ever. Casual puzzle
games are among the most played categories. These games capitalize on the players' …

Advances in the Applications of Bioinformatics and Chemoinformatics

MA Raslan, SA Raslan, EM Shehata, AS Mahmoud… - Pharmaceuticals, 2023 - mdpi.com
Chemoinformatics involves integrating the principles of physical chemistry with computer-
based and information science methodologies, commonly referred to as “in silico …

Deep reinforcement learning-based pairwise DNA sequence alignment method compatible with embedded edge devices

A Lall, S Tallur - Scientific Reports, 2023 - nature.com
Sequence alignment is an essential component of bioinformatics, for identifying regions of
similarity that may indicate functional, structural, or evolutionary relationships between the …

Revolutionizing genomics with reinforcement learning techniques

M Karami, R Alizadehsani, A Argha, I Dehzangi… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

learnMSA: learning and aligning large protein families

F Becker, M Stanke - GigaScience, 2022 - academic.oup.com
Background The alignment of large numbers of protein sequences is a challenging task and
its importance grows rapidly along with the size of biological datasets. State-of-the-art …

Transfer deep reinforcement learning-based large-scale V2G continuous charging coordination with renewable energy sources

Y Zhang, X Chen, Y Zhang - arXiv preprint arXiv:2210.07013, 2022 - arxiv.org
Due to the increasing popularity of electric vehicles (EVs) and the technological
advancement of EV electronics, the vehicle-to-grid (V2G) technique and large-scale …

Local alignment of DNA sequence based on deep reinforcement learning

YJ Song, DH Cho - IEEE open journal of engineering in …, 2021 - ieeexplore.ieee.org
Goal: Over the decades, there have been improvements in the sequence alignment
algorithm, with significant advances in various aspects such as complexity and accuracy …