iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
Motivation DNA methylation plays an important role in epigenetic modification, the
occurrence, and the development of diseases. Therefore, identification of DNA methylation …
occurrence, and the development of diseases. Therefore, identification of DNA methylation …
Research progress in predicting DNA methylation modifications and the relation with human diseases
C Ao, L Gao, L Yu - Current Medicinal Chemistry, 2022 - ingentaconnect.com
DNA methylation is an important mode of regulation in epigenetic mechanisms, and it is one
of the research foci in the field of epigenetics. DNA methylation modification affects a series …
of the research foci in the field of epigenetics. DNA methylation modification affects a series …
PUResNet: prediction of protein-ligand binding sites using deep residual neural network
Background Predicting protein-ligand binding sites is a fundamental step in understanding
the functional characteristics of proteins, which plays a vital role in elucidating different …
the functional characteristics of proteins, which plays a vital role in elucidating different …
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
Q Liu, J Chen, Y Wang, S Li, C Jia… - Briefings in …, 2021 - academic.oup.com
Abstract DNA N4-methylcytosine (4mC) is an important epigenetic modification that plays a
vital role in regulating DNA replication and expression. However, it is challenging to detect …
vital role in regulating DNA replication and expression. However, it is challenging to detect …
[HTML][HTML] Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites
The identification of DNA N4-methylcytosine (4mC) sites is an important field of
bioinformatics. Statistical learning methods and deep learning have been applied in this …
bioinformatics. Statistical learning methods and deep learning have been applied in this …
C-loss based higher order fuzzy inference systems for identifying DNA N4-methylcytosine sites
DNA methylation is an epigenetic marker that plays an important role in the biological
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites
Abstract N4-methylcytosine (4mC), as a DNA modification, plays a crucial role in epigenetic
regulation. However, the existing experimentation methods for accurately identifying 4mC …
regulation. However, the existing experimentation methods for accurately identifying 4mC …
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Abstract N4-methylcytosine (4mC) is a type of DNA modification which could regulate
several biological progressions such as transcription regulation, replication and gene …
several biological progressions such as transcription regulation, replication and gene …
CSatDTA: prediction of drug–target binding affinity using convolution model with self-attention
Drug discovery, which aids to identify potential novel treatments, entails a broad range of
fields of science, including chemistry, pharmacology, and biology. In the early stages of drug …
fields of science, including chemistry, pharmacology, and biology. In the early stages of drug …
A CNN-based RNA N6-methyladenosine site predictor for multiple species using heterogeneous features representation
Post-transcriptional modification such as N6-methyladenosine (m6A) has a crucial role in
the stability and regulation of gene expression. Therefore, the identification of m6A is highly …
the stability and regulation of gene expression. Therefore, the identification of m6A is highly …