Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …
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 …
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 …
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 …
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 …
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
Background The widespread usage of Cap Analysis of Gene Expression (CAGE) has led to
numerous breakthroughs in understanding the transcription mechanisms. Recent evidence …
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 …
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 …
utilizing Machine Learning algorithms. Current research focuses on regulatory regions with …