Dlp: duplex link prediction via subspace segmentation for predicting drug-mirna associations

K Zheng, G Duan, Q Zhao, M Yang… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
The arduous and costly journey of drug discovery is increasingly intersecting with
computational approaches, which promise to accelerate the analysis of bioassays and …

MLPMDA: Multi-layer linear projection for predicting miRNA-disease association

L Guo, K Shi, L Wang - Knowledge-Based Systems, 2021 - Elsevier
The miRNA plays a key role in the biological process and it has close relationship with
disease. The wet experiment to test the association between miRNA and disease is time …

Prediction of Potential MicroRNA–Disease Association Using Kernelized Bayesian Matrix Factorization

A Toprak, E Eryilmaz Dogan - Interdisciplinary Sciences: Computational …, 2021 - Springer
MicroRNA (miRNA) molecules, which are effective in the formation and progression of many
different diseases, are 18–22 nucleotides in length and make up a type of non-coding RNA …

[PDF][PDF] Nano-Boyutlu Biyoinformatik Analiz ile Kanser Hastalıklarının Tanısı

A Toprak - 2022 - acikerisim.selcuk.edu.tr
Özet Non-coding RNAs are generally divided into two main groups according to their
nucleotide length: small (< 200 nucleotides) and long (≥ 200 nucleotides). miRNAs …