Distance-based support vector machine to predict DNA N6-methyladenine modification

H Zhang, Q Zou, Y Ju, C Song, D Chen - Current Bioinformatics, 2022 - ingentaconnect.com
Background: DNA N6-methyladenine plays an important role in the restriction-modification
system to isolate invasion from adventive DNA. The shortcomings of the high time …

[HTML][HTML] Bioinformatics approaches for deciphering the epitranscriptome: recent progress and emerging topics

L Liu, B Song, J Ma, Y Song, SY Zhang, Y Tang… - Computational and …, 2020 - Elsevier
Post-transcriptional RNA modification occurs on all types of RNA and plays a vital role in
regulating every aspect of RNA function. Thanks to the development of high-throughput …

ncRDeep: Non-coding RNA classification with convolutional neural network

T Chantsalnyam, DY Lim, H Tayara… - Computational Biology and …, 2020 - Elsevier
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is
involved in many biological processes, diseases, and cancers. Numerous ncRNAs have …

iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach

S Akbar, S Khan, F Ali, M Hayat, M Qasim… - … and Intelligent Laboratory …, 2020 - Elsevier
Hormone binding proteins (HBPs) are soluble carrier proteins that can non-covalently and
selectively interact with the human hormone. HBPs plays a significant role in human life, but …

[HTML][HTML] Computational identification of N6-methyladenosine sites in multiple tissues of mammals

FY Dao, H Lv, YH Yang, H Zulfiqar, H Gao… - Computational and …, 2020 - Elsevier
Abstract N6-methyladenosine (m6A) is the methylation of the adenosine at the nitrogen-6
position, which is the most abundant RNA methylation modification and involves a series of …

Prediction of enhancers in DNA sequence data using a hybrid CNN-DLSTM model

A Kaur, APS Chauhan… - IEEE/ACM transactions on …, 2022 - ieeexplore.ieee.org
Enhancer, a distal cis-regulatory element controls gene expression. Experimental prediction
of enhancer elements is time-consuming and expensive. Consequently, various inexpensive …

Discovering consensus regions for interpretable identification of rna n6-methyladenosine modification sites via graph contrastive clustering

G Li, B Zhao, X Su, Y Yang, P Hu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
As a pivotal post-transcriptional modification of RNA, N6-methyladenosine (m6A) has a
substantial influence on gene expression modulation and cellular fate determination …

A CNN-based RNA N6-methyladenosine site predictor for multiple species using heterogeneous features representation

W Alam, SD Ali, H Tayara, K to Chong - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine

A Wahab, H Tayara, Z Xuan, KT Chong - Scientific reports, 2021 - nature.com
N4-methylcytosine is a biochemical alteration of DNA that affects the genetic operations
without modifying the DNA nucleotides such as gene expression, genomic imprinting …

Spinenet-6ma: A novel deep learning tool for predicting dna n6-methyladenine sites in genomes

Z Abbas, H Tayara, K to Chong - IEEE Access, 2020 - ieeexplore.ieee.org
DNA N6-methyladenine (6mA) has subsequently been identified as an important epigenetic
modification which plays an important role in various cellular processes. The precise …