Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion

L Huang, L Zhang, X Chen - Briefings in bioinformatics, 2022 - academic.oup.com
MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …

MicroRNAs in drug addiction: Current status and future perspectives

Y Zhao, F Qin, S Han, S Li, Y Zhao, H Wang… - Pharmacology & …, 2022 - Elsevier
Drug addiction is a chronic and relapsing brain disorder characterized by compulsive drug
seeking and continued drug use despite adverse consequences. The high prevalence and …

Circulating microRNAs as cancer biomarkers in liquid biopsies

B Suárez, C Solé, M Márquez, F Nanetti… - Systems Biology of …, 2022 - Springer
Biological fluids such as blood, saliva, and urine offer a rich source of biomarkers that have
the potential to change the paradigm of cancer management. By allowing routine …

TRmir: a comprehensive resource for human transcriptional regulatory information of miRNAs

Y Gao, C Feng, Y Zhang, C Song, J Chen, Y Li… - Frontiers in …, 2022 - frontiersin.org
MicroRNAs (miRNAs) are small non-coding RNAs, which play important roles in regulating
various biological functions. Many available miRNA databases have provided a large …

Turning data to knowledge: Online tools, databases, and resources in microRNA research

I Blass, K Zohar, M Linial - Systems Biology of MicroRNAs in Cancer, 2022 - Springer
MicroRNAs (miRNAs) provide a fundamental layer of regulation in cells. miRNAs act
posttranscriptionally through complementary base-pairing with the 3′-UTR of a target …

DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data

D Grigoriadis, N Perdikopanis, GK Georgakilas… - BMC …, 2022 - Springer
Background The widespread usage of Cap Analysis of Gene Expression (CAGE) has led to
numerous breakthroughs in understanding the transcription mechanisms. Recent evidence …

Databases for Rational Design and Discovery of Multitarget Drugs

Z Wang, B Yang - Polypharmacology: Principles and Methodologies, 2022 - Springer
Rational drug design and discovery, particularly rational multitarget drug (MTD) design and
discovery, heavily relies on computational approaches exploring the Internet data resources …

[PDF][PDF] Machine learning algorithms for large scale transcriptomic and genetic data

D Grigoriadis - 2022 - ir.lib.uth.gr
This study is part of the research areas of bioinformatics and large-scale data analysis by
utilizing Machine Learning algorithms. Current research focuses on regulatory regions with …