MicroRNAs and complex diseases: from experimental results to computational models

X Chen, D Xie, Q Zhao, ZH You - Briefings in bioinformatics, 2019 - academic.oup.com
Plenty of microRNAs (miRNAs) were discovered at a rapid pace in plants, green algae,
viruses and animals. As one of the most important components in the cell, miRNAs play a …

MicroRNA expression and function in cancer

R Garzon, M Fabbri, A Cimmino, GA Calin… - Trends in molecular …, 2006 - cell.com
MicroRNAs are small non-coding RNAs of 19–24 nucleotides in length that downregulate
gene expression during various crucial cell processes such as apoptosis, differentiation and …

MDHGI: matrix decomposition and heterogeneous graph inference for miRNA-disease association prediction

X Chen, J Yin, J Qu, L Huang - PLoS computational biology, 2018 - journals.plos.org
Recently, a growing number of biological research and scientific experiments have
demonstrated that microRNA (miRNA) affects the development of human complex diseases …

Deep-belief network for predicting potential miRNA-disease associations

X Chen, TH Li, Y Zhao, CC Wang… - Briefings in …, 2021 - academic.oup.com
MicroRNA (miRNA) plays an important role in the occurrence, development, diagnosis and
treatment of diseases. More and more researchers begin to pay attention to the relationship …

WBSMDA: within and between score for MiRNA-disease association prediction

X Chen, CC Yan, X Zhang, ZH You, L Deng, Y Liu… - Scientific reports, 2016 - nature.com
Increasing evidences have indicated that microRNAs (miRNAs) are functionally associated
with the development and progression of various complex human diseases. However, the …

Semi-supervised learning for potential human microRNA-disease associations inference

X Chen, GY Yan - Scientific reports, 2014 - nature.com
MicroRNAs play critical role in the development and progression of various diseases.
Predicting potential miRNA-disease associations from vast amount of biological data is an …

LRSSLMDA: Laplacian regularized sparse subspace learning for MiRNA-disease association prediction

X Chen, L Huang - PLoS computational biology, 2017 - journals.plos.org
Predicting novel microRNA (miRNA)-disease associations is clinically significant due to
miRNAs' potential roles of diagnostic biomarkers and therapeutic targets for various human …

Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources

Y Liu, X Zeng, Z He, Q Zou - IEEE/ACM transactions on …, 2016 - ieeexplore.ieee.org
Since the discovery of the regulatory function of microRNA (miRNA), increased attention has
focused on identifying the relationship between miRNA and disease. It has been suggested …

MicroRNA-133 controls cardiac hypertrophy

A Care, D Catalucci, F Felicetti, D Bonci, A Addario… - Nature medicine, 2007 - nature.com
Growing evidence indicates that microRNAs (miRNAs or miRs) are involved in basic cell
functions and oncogenesis. Here we report that miR-133 has a critical role in determining …

Accumulation of miR-155 and BIC RNA in human B cell lymphomas

PS Eis, W Tam, L Sun, A Chadburn… - Proceedings of the …, 2005 - National Acad Sciences
We show that the microRNA miR-155 can be processed from sequences present in BIC
RNA, a spliced and polyadenylated but non-protein-coding RNA that accumulates in …