Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding

Q Yuan, K Chen, Y Yu, NQK Le… - Briefings in …, 2023 - academic.oup.com
Anticancer peptides (ACPs) are the types of peptides that have been demonstrated to have
anticancer activities. Using ACPs to prevent cancer could be a viable alternative to …

GENA-LM: a family of open-source foundational DNA language models for long sequences

V Fishman, Y Kuratov, A Shmelev… - Nucleic Acids …, 2025 - academic.oup.com
Recent advancements in genomics, propelled by artificial intelligence, have unlocked
unprecedented capabilities in interpreting genomic sequences, mitigating the need for …

Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data

F Demir, Y Akbulut, B Taşcı, K Demir - Biomedical Signal Processing and …, 2023 - Elsevier
Many machine learning-based studies have been carried out in the literature for the
detection of brain tumors using MRI data and most of what has been done in the last 6 years …

Whole genome deconvolution unveils Alzheimer's resilient epigenetic signature

E Berson, A Sreenivas, T Phongpreecha… - Nature …, 2023 - nature.com
Abstract Assay for Transposase Accessible Chromatin by sequencing (ATAC-seq)
accurately depicts the chromatin regulatory state and altered mechanisms guiding gene …

Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and …

Z Peng, A Maciel-Guerra, M Baker… - PLoS computational …, 2022 - journals.plos.org
Anthropogenic environments such as those created by intensive farming of livestock, have
been proposed to provide ideal selection pressure for the emergence of antimicrobial …

MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction

W Zeng, A Gautam, DH Huson - GigaScience, 2023 - academic.oup.com
Transformer-based language models are successfully used to address massive text-related
tasks. DNA methylation is an important epigenetic mechanism, and its analysis provides …

Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species

X Tang, P Zheng, X Li, H Wu, DQ Wei, Y Liu, G Huang - Methods, 2022 - Elsevier
Abstract DNA N6-methyladenine (6mA) is a key DNA modification, which plays versatile
roles in the cellular processes, including regulation of gene expression, DNA repair, and …

A review of methods for predicting DNA N6-methyladenine sites

K Han, J Wang, Y Wang, L Zhang, M Yu… - Briefings in …, 2023 - academic.oup.com
Abstract Deoxyribonucleic acid (DNA) N6-methyladenine plays a vital role in various
biological processes, and the accurate identification of its site can provide a more …

[HTML][HTML] m5C regulator-mediated modification patterns and tumor microenvironment infiltration characterization in colorectal cancer: One step closer to precision …

B Chen, Y Xi, J Zhao, Y Hong, S Tian, X Zhai… - Frontiers in …, 2022 - frontiersin.org
Background The RNA modification 5-methylcytosine (m5C) is one of the most prevalent post-
transcriptional modifications, with increasing evidence demonstrating its extensive …

A novel deep transfer learning approach based on depth-wise separable CNN for human posture detection

RO Ogundokun, R Maskeliūnas, S Misra… - Information, 2022 - mdpi.com
Human posture classification (HPC) is the process of identifying a human pose from a still
image or moving image that was recorded by a digicam. This makes it easier to keep a …