Towards a better understanding of TF-DNA binding prediction from genomic features

Z Wang, M Gong, Y Liu, S Xiong, M Wang… - Computers in Biology …, 2022 - Elsevier
Transcription factors (TFs) can regulate gene expression by recognizing specific cis-
regulatory elements in DNA sequences. TF-DNA binding prediction has become a …

CBIL-VHPLI: a model for predicting viral-host protein-lncRNA interactions based on machine learning and transfer learning

M Zhang, L Zhang, T Liu, H Feng, Z He, F Li, J Zhao… - Scientific Reports, 2024 - nature.com
Virus‒host protein‒lncRNA interaction (VHPLI) predictions are critical for decoding the
molecular mechanisms of viral pathogens and host immune processes. Although VHPLI …

A comparative benchmark of classic DNA motif discovery tools on synthetic data

S Castellana, T Biagini, L Parca… - Briefings in …, 2021 - academic.oup.com
Hundreds of human proteins were found to establish transient interactions with rather
degenerated consensus DNA sequences or motifs. Identifying these motifs and the genomic …

Prediction and planning of sports competition based on deep neural network

J Xu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Physical education curriculum has been paid more and more attention by teachers and
parents, and having a healthy body is the foundation. School sports competition is also more …

Markonv: a novel convolutional layer with inter-positional correlations modeled

JY Li, Y Tan, ZY Wen, YJ Kang, Y Ding, G Gao - bioRxiv, 2022 - biorxiv.org
Deep neural networks equipped with convolutional neural layers have been widely used in
omics data analysis. Though highly efficient in data-oriented feature detection, the classical …