Cargando…

Applications of Machine Learning in miRNA Discovery and Target Prediction

MicroRNA (miRNA) is a small non-coding molecule that is involved in gene regulation and RNA silencing by complementary on their targets. Experimental methods for target prediction can be time-consuming and expensive. Thus, the application of the computational approach is implicated to enlighten thes...

Descripción completa

Detalles Bibliográficos
Autores principales:	Parveen, Alisha, Mustafa, Syed H., Yadav, Pankaj, Kumar, Abhishek
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Bentham Science Publishers 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290058/ https://www.ncbi.nlm.nih.gov/pubmed/32581642 http://dx.doi.org/10.2174/1389202921666200106111813

Ejemplares similares

Advancement in Deep Learning Methods for Diagnosis and Prognosis of Cervical Cancer
por: Gupta, Akshat, et al.
Publicado: (2022)

miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles
por: Pradhan, Upendra Kumar, et al.
Publicado: (2021)

Employing machine learning for reliable miRNA target identification in plants
por: Jha, Ashwani, et al.
Publicado: (2011)

Characterization and discovery of miRNA and miRNA targets from apomictic and sexual genotypes of Eragrostis curvula
por: Garbus, Ingrid, et al.
Publicado: (2019)

Global profiling of miRNAs and the hairpin precursors: insights into miRNA processing and novel miRNA discovery
por: Li, Na, et al.
Publicado: (2013)

Prediction of miRNA targets by learning from interaction sequences
por: Zheng, Xueming, et al.
Publicado: (2020)

Discovering Cancer-Related miRNAs from miRNA-Target Interactions by Support Vector Machines
por: Pian, Cong, et al.
Publicado: (2020)

Biogenesis, conservation, and function of miRNA in liverworts
por: Pietrykowska, Halina, et al.
Publicado: (2022)

A holistic miRNA-mRNA module discovery
por: Shommo, Ghada, et al.
Publicado: (2021)

Discovery pipeline for epigenetically deregulated miRNAs in cancer: integration of primary miRNA transcription
por: Hulf, Toby, et al.
Publicado: (2011)

Re-thinking miRNA-mRNA interactions: Intertwining issues confound target discovery
por: Cloonan, Nicole
Publicado: (2015)

Single‐cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction
por: Rzepiela, Andrzej J, et al.
Publicado: (2018)

Deciphering miRNA–Target Relationships to Understand miRNA-Mediated Carcinogenesis
por: Navarro, Alfons
Publicado: (2021)

miTAR: a hybrid deep learning-based approach for predicting miRNA targets
por: Gu, Tongjun, et al.
Publicado: (2021)

About miRNAs, miRNA seeds, target genes and target pathways
por: Kehl, Tim, et al.
Publicado: (2017)

Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta
por: Hamidi, Farzaneh, et al.
Publicado: (2023)

miRTour: Plant miRNA and target prediction tool
por: Milev, Ivan, et al.
Publicado: (2011)

A miRNA Target Prediction Model Based on Distributed Representation Learning and Deep Learning
por: Sun, Yuzhuo, et al.
Publicado: (2022)

Evaluation of miRNA-7, miRNA-10 and miRNA-21 as diagnostic non-invasive biomarkers of hepatocellular carcinoma
por: Elabd, Walaa K., et al.
Publicado: (2023)

miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences
por: Cui, Haibo, et al.
Publicado: (2015)

Generation of MiRNA sponge constructs targeting multiple MiRNAs
por: Jie, Junjin, et al.
Publicado: (2022)

Discovery of miRNAs and Development of Heat-Responsive miRNA-SSR Markers for Characterization of Wheat Germplasm for Terminal Heat Tolerance Breeding
por: Sihag, Pooja, et al.
Publicado: (2021)

Integrative Analysis of miRNA-mRNA and miRNA-miRNA Interactions
por: Guo, Li, et al.
Publicado: (2014)

The landscape of miRNA editing in animals and its impact on miRNA biogenesis and targeting
por: Li, Lishi, et al.
Publicado: (2018)

Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions
por: Chen, Hailin, et al.
Publicado: (2020)

Application of machine learning in SNP discovery
por: Matukumalli, Lakshmi K, et al.
Publicado: (2006)

miRNA-target prediction based on transcriptional regulation
por: Fujiwara, Toyofumi, et al.
Publicado: (2013)

ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features
por: Meher, Prabina Kumar, et al.
Publicado: (2022)

miRU: an automated plant miRNA target prediction server
por: Zhang, Yuanji
Publicado: (2005)

Identification of targets of miRNA-221 and miRNA-222 in fulvestrant-resistant breast cancer
por: Liu, Pengfei, et al.
Publicado: (2016)

An interplay of miRNA abundance and target site architecture determines miRNA activity and specificity
por: Brancati, Giovanna, et al.
Publicado: (2018)

New discoveries on how DICER efficiently processes pre‐miRNA
por: Weng, Qi, et al.
Publicado: (2023)

Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis
por: Chen, Hailin, et al.
Publicado: (2019)

Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction
por: Marques, Yuri Bento, et al.
Publicado: (2016)

Expression dynamics of miRNAs and their targets in seed germination conditions reveals miRNA-ta-siRNA crosstalk as regulator of seed germination
por: Sarkar Das, Shabari, et al.
Publicado: (2018)

Identification of markers for predicting prognosis and endocrine metabolism in nasopharyngeal carcinoma by miRNA–mRNA network mining and machine learning
por: Zhang, Xixia, et al.
Publicado: (2023)

Overview of Repressive miRNA Regulation by Short Tandem Target Mimic (STTM): Applications and Impact on Plant Biology
por: Othman, Syed Muhammad Iqbal Syed, et al.
Publicado: (2023)

Impact of probe annotation on the integration of miRNA–mRNA expression profiles for miRNA target detection
por: Sales, Gabriele, et al.
Publicado: (2010)

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction
por: Chen, Xing, et al.
Publicado: (2018)

Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
por: Barbato, Christian, et al.
Publicado: (2009)

Cannot write session to /tmp/vufind_sessions/sess_os6jfdqjekhs1l4qqng3k0p95k