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Adaptive boosting-based computational model for predicting potential miRNA-disease associations
Motivation Recent studies have shown that microRNAs (miRNAs) play a critical part in
several biological processes and dysregulation of miRNAs is related with numerous …
several biological processes and dysregulation of miRNAs is related with numerous …
[HTML][HTML] HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction
Recently, microRNAs (miRNAs) have drawn more and more attentions because
accumulating experimental studies have indicated miRNA could play critical roles in multiple …
accumulating experimental studies have indicated miRNA could play critical roles in multiple …
miRNA‐disease association prediction with collaborative matrix factorization
As one of the factors in the noncoding RNA family, microRNAs (miRNAs) are involved in the
development and progression of various complex diseases. Experimental identification of …
development and progression of various complex diseases. Experimental identification of …
The role of network science in glioblastoma
Simple Summary Knowledge extraction from cancer genomic studies is continuously
challenged by the fast-growing technological advances generating high-dimensional data …
challenged by the fast-growing technological advances generating high-dimensional data …
Pathway map** and development of disease‐specific biomarkers: protein‐based network biomarkers
H Chen, Z Zhu, Y Zhu, J Wang, Y Mei… - Journal of cellular and …, 2015 - Wiley Online Library
It is known that a disease is rarely a consequence of an abnormality of a single gene, but
reflects the interactions of various processes in a complex network. Annotated molecular …
reflects the interactions of various processes in a complex network. Annotated molecular …
Disease gene prediction for molecularly uncharacterized diseases
JJ Cáceres, A Paccanaro - PLoS computational biology, 2019 - journals.plos.org
Network medicine approaches have been largely successful at increasing our knowledge of
molecularly characterized diseases. Given a set of disease genes associated with a …
molecularly characterized diseases. Given a set of disease genes associated with a …
Cooperative co-evolutionary module identification with application to cancer disease module discovery
Module identification or community detection in complex networks has become increasingly
important in many scientific fields because it provides insight into the relationship and …
important in many scientific fields because it provides insight into the relationship and …
Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
C Li, B Pu, L Gu, M Zhang, H Shen, Y Yuan… - FEBS Open …, 2021 - Wiley Online Library
Glioblastoma multiforme (GBM) is the most malignant primary tumour in the central nervous
system, but the molecular mechanisms underlying its pathogenesis remain unclear. In this …
system, but the molecular mechanisms underlying its pathogenesis remain unclear. In this …
Scouting for common genes in the heterogenous hypoxic tumor microenvironment and their validation in glioblastoma
Investigating the therapeutic and prognostic potential of genes in the heterogeneous
hypoxic niche of glioblastoma. We have analyzed RNA expression of U87MG cells cultured …
hypoxic niche of glioblastoma. We have analyzed RNA expression of U87MG cells cultured …
[HTML][HTML] Modular transcriptional repertoire and MicroRNA target analyses characterize genomic dysregulation in the thymus of Down syndrome infants
Trisomy 21-driven transcriptional alterations in human thymus were characterized through
gene coexpression network (GCN) and miRNA-target analyses. We used whole thymic …
gene coexpression network (GCN) and miRNA-target analyses. We used whole thymic …