Cargando…

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes

BACKGROUND: microRNAs (miRNAs) are a class of small non-coding RNAs which have been recognized as ubiquitous post-transcriptional regulators. The analysis of interactions between different miRNAs and their target genes is necessary for the understanding of miRNAs' role in the control of cell li...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pio, Gianvito, Ceci, Michelangelo, D'Elia, Domenica, Loglisci, Corrado, Malerba, Donato
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633049/ https://www.ncbi.nlm.nih.gov/pubmed/23815553 http://dx.doi.org/10.1186/1471-2105-14-S7-S8

Ejemplares similares

Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach
por: Pio, Gianvito, et al.
Publicado: (2014)

ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks
por: Pio, Gianvito, et al.
Publicado: (2015)

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering
por: Barracchia, Emanuele Pio, et al.
Publicado: (2020)

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining
por: Turi, Antonio, et al.
Publicado: (2009)

Differential co-expression framework to quantify goodness of biclusters and compare biclustering algorithms
por: Chia, Burton Kuan Hui, et al.
Publicado: (2010)

New frontiers in mining complex patterns: 5th international workshop, NFMCP 2016, held in conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, revised selected papers
por: Appice, Annalisa, et al.
Publicado: (2017)

A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data
por: Li, Li, et al.
Publicado: (2012)

A biclustering algorithm based on a Bicluster Enumeration Tree: application to DNA microarray data
por: Ayadi, Wassim, et al.
Publicado: (2009)

Semi-Supervised Multi-View Learning for Gene Network Reconstruction
por: Ceci, Michelangelo, et al.
Publicado: (2015)

Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks
por: Mignone, Paolo, et al.
Publicado: (2020)

New frontiers in mining complex patterns: third international workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, revised selected papers
por: Appice, Annalisa, et al.
Publicado: (2015)

Complex pattern mining: new challenges, methods and applications
por: Appice, Annalisa, et al.
Publicado: (2020)

Biclustering analysis of transcriptome big data identifies condition-specific microRNA targets
por: Yoon, Sora, et al.
Publicado: (2019)

Comparison of sparse biclustering algorithms for gene expression datasets
por: Nicholls, Kath, et al.
Publicado: (2021)

Twenty years of RNA: the discovery of microRNAs
por: Varani, Gabriele
Publicado: (2015)

Discovery of error-tolerant biclusters from noisy gene expression data
por: Gupta, Rohit, et al.
Publicado: (2011)

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
por: Stojanova, Daniela, et al.
Publicado: (2013)

Discovery of microRNAs and other small RNAs in solid tumors
por: Meiri, Eti, et al.
Publicado: (2010)

QUBIC: a qualitative biclustering algorithm for analyses of gene expression data
por: Li, Guojun, et al.
Publicado: (2009)

Exact biclustering algorithm for the analysis of large gene expression data sets
por: Voggenreiter, Oliver, et al.
Publicado: (2012)

An Improved Biclustering Algorithm and Its Application to Gene Expression Spectrum Analysis
por: Qu, Hua, et al.
Publicado: (2005)

ARBic: an all-round biclustering algorithm for analyzing gene expression data
por: Liu, Xiangyu, et al.
Publicado: (2023)

The Role of microRNAs in the Biology of Rare Diseases
por: Salvatore, Marco, et al.
Publicado: (2011)

OncomiRs: the discovery and progress of microRNAs in cancers
por: Cho, William CS
Publicado: (2007)

Discovery of microRNAs during early spermatogenesis in chicken
por: Xu, Lu, et al.
Publicado: (2017)

Discovery of Conserved and Novel MicroRNAs in Galdieria sulphuraria
por: Gao, Fan, et al.
Publicado: (2021)

Machine learning and knowledge discovery in databases: European conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, proceedings, part III
por: Altun, Yasemin, et al.
Publicado: (2017)

Automatic layout and visualization of biclusters
por: Grothaus, Gregory A, et al.
Publicado: (2006)

Multi-species integrative biclustering
por: Waltman, Peter, et al.
Publicado: (2010)

RUBic: rapid unsupervised biclustering
por: Sriwastava, Brijesh K., et al.
Publicado: (2023)

Biclustering of transcriptome sequencing data reveals human tissue-specific circular RNAs
por: Liu, Yu-Chen, et al.
Publicado: (2018)

MicroRNAs as Biomarkers in Thyroid Carcinoma
por: Celano, Marilena, et al.
Publicado: (2017)

Bi-Force: large-scale bicluster editing and its application to gene expression data biclustering
por: Sun, Peng, et al.
Publicado: (2014)

BicNET: Flexible module discovery in large-scale biological networks using biclustering
por: Henriques, Rui, et al.
Publicado: (2016)

The Multifaceted Roles of MicroRNAs in Cystic Fibrosis
por: De Palma, Fatima Domenica Elisa, et al.
Publicado: (2020)

Discovery of Mosquito Saliva MicroRNAs during CHIKV Infection
por: Maharaj, Payal D., et al.
Publicado: (2015)

Dataset on discovery of microRNAs in Centella asiatica (L.) Urb.
por: Ranjith, Gouri Priya, et al.
Publicado: (2020)

A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset
por: Joung, Je-Gun, et al.
Publicado: (2012)

UniBic: Sequential row-based biclustering algorithm for analysis of gene expression data
por: Wang, Zhenjia, et al.
Publicado: (2016)

BiCAMWI: A Genetic-Based Biclustering Algorithm for Detecting Dynamic Protein Complexes
por: Lakizadeh, Amir, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_76fk65pli023qe99p8srravlsj