Representation learning applications in biological sequence analysis
Although remarkable advances have been reported in high-throughput sequencing, the
ability to aptly analyze a substantial amount of rapidly generated biological …
ability to aptly analyze a substantial amount of rapidly generated biological …
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding
A large amount of clinical evidence began to mount, showing that circular ribonucleic acids
(RNAs; circRNAs) perform a very important function in complex diseases by participating in …
(RNAs; circRNAs) perform a very important function in complex diseases by participating in …
[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges
N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …
deep learning techniques into natural language processing representing significant …
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
M Nabeel Asim, M Ali Ibrahim, A Fazeel… - Briefings in …, 2023 - academic.oup.com
Accurate prediction of deoxyribonucleic acid (DNA) modifications is essential to explore and
discern the process of cell differentiation, gene expression and epigenetic regulation …
discern the process of cell differentiation, gene expression and epigenetic regulation …
BERT‐m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7‐Methylguanosine Sites from Sequence Information
L Zhang, X Qin, M Liu, G Liu… - … and mathematical methods …, 2021 - Wiley Online Library
As one of the most prevalent posttranscriptional modifications of RNA, N7‐methylguanosine
(m7G) plays an essential role in the regulation of gene expression. Accurate identification of …
(m7G) plays an essential role in the regulation of gene expression. Accurate identification of …
Systematic analysis and accurate identification of DNA N4-methylcytosine sites by deep learning
L Yu, Y Zhang, L Xue, F Liu, Q Chen, J Luo… - Frontiers in …, 2022 - frontiersin.org
DNA N4-methylcytosine (4mC) is a pivotal epigenetic modification that plays an essential
role in DNA replication, repair, expression and differentiation. To gain insight into the …
role in DNA replication, repair, expression and differentiation. To gain insight into the …
[HTML][HTML] 4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome
An epigenetic modification is DNA N4-methylcytosine (4mC) that affects several biological
functions without altering the DNA nucleotides, including DNA conformation, cell …
functions without altering the DNA nucleotides, including DNA conformation, cell …
An automatic convolutional neural network optimization using a diversity-guided genetic algorithm
TN Fatyanosa, M Aritsugi - IEEE Access, 2021 - ieeexplore.ieee.org
Hyperparameters and architecture greatly influence the performance of convolutional neural
networks (CNNs); therefore, their optimization is important to obtain the desired results. One …
networks (CNNs); therefore, their optimization is important to obtain the desired results. One …
A grid search-based multilayer dynamic ensemble system to identify dna n4—methylcytosine using deep learning approach
DNA (Deoxyribonucleic Acid) N4-methylcytosine (4mC), a kind of epigenetic modification of
DNA, is important for modifying gene functions, such as protein interactions, conformation …
DNA, is important for modifying gene functions, such as protein interactions, conformation …
[HTML][HTML] Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series
R Kanjilal, I Uysal - Journal of Biomedical Informatics, 2022 - Elsevier
Deep learning versus feature engineering has drawn significant attention specifically for
applications where expertly crafted features have been used for decades. Human activity …
applications where expertly crafted features have been used for decades. Human activity …