Cargando…

State of the Art of Fuzzy Methods for Gene Regulatory Networks Inference

To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy methods used in gene regulatory networks (GRNs) inference. GRNs represent causal relationships between genes that have a direct influence, trough protein production, on the life and the development of l...

Descripción completa

Detalles Bibliográficos
Autores principales:	Al Qazlan, Tuqyah Abdullah, Hamdi-Cherif, Aboubekeur, Kara-Mohamed, Chafia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386676/ https://www.ncbi.nlm.nih.gov/pubmed/25879048 http://dx.doi.org/10.1155/2015/148010

Ejemplares similares

Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
por: Mehrabi, Mohammad, et al.
Publicado: (2020)

Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting
por: Alenezy, Abdullah H., et al.
Publicado: (2022)

An algebra-based method for inferring gene regulatory networks
por: Vera-Licona, Paola, et al.
Publicado: (2014)

Ensemble Inference and Inferability of Gene Regulatory Networks
por: Ud-Dean, S. M. Minhaz, et al.
Publicado: (2014)

An Overview of the Statistical Methods Used for Inferring Gene Regulatory Networks and Protein-Protein Interaction Networks
por: Noor, Amina, et al.
Publicado: (2013)

Gene regulatory network inference using PLS-based methods
por: Guo, Shun, et al.
Publicado: (2016)

Supervised inference of gene-regulatory networks
por: To, Cuong C, et al.
Publicado: (2008)

Inferring the experimental design for accurate gene regulatory network inference
por: Seçilmiş, Deniz, et al.
Publicado: (2021)

Benchmarking Gene Regulatory Network Inference Methods on Simulated and Experimental Data
por: Saint-Antoine, Michael, et al.
Publicado: (2023)

The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis
por: Isikdemir, Yunus Emre, et al.
Publicado: (2022)

Integration of Steady-State and Temporal Gene Expression Data for the Inference of Gene Regulatory Networks
por: Wang, Yi Kan, et al.
Publicado: (2013)

Computer State Evaluation Using Adaptive Neuro-Fuzzy Inference Systems
por: Buriboev, Abror, et al.
Publicado: (2022)

Inferring gene regulatory networks by thermodynamic modeling
por: Chen, Chieh-Chun, et al.
Publicado: (2008)

Validation of Inference Procedures for Gene Regulatory Networks
por: Dougherty, Edward R
Publicado: (2007)

PFBNet: a priori-fused boosting method for gene regulatory network inference
por: Che, Dandan, et al.
Publicado: (2020)

Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms
por: Berns, Fabian, et al.
Publicado: (2022)

Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles
por: Shojaie, Ali, et al.
Publicado: (2014)

Evaluating Power Rehabilitation Actions Using a Fuzzy Inference Method
por: Huang, Yo-Ping, et al.
Publicado: (2021)

Supplier evaluation and categorize with combine Fuzzy Dematel and Fuzzy Inference System
por: Ashtarinezhad, Elahe, et al.
Publicado: (2018)

Functional association networks as priors for gene regulatory network inference
por: Studham, Matthew E., et al.
Publicado: (2014)

Inference of Gene Regulatory Network Based on Local Bayesian Networks
por: Liu, Fei, et al.
Publicado: (2016)

Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methods
por: Werhli, Adriano V
Publicado: (2012)

A computational framework for gene regulatory network inference that combines multiple methods and datasets
por: Gupta, Rita, et al.
Publicado: (2011)

B-cell lymphoma gene regulatory networks: biological consistency among inference methods
por: de Matos Simoes, Ricardo, et al.
Publicado: (2013)

GRNbenchmark - a web server for benchmarking directed gene regulatory network inference methods
por: Seçilmiş, Deniz, et al.
Publicado: (2022)

AGRN: accurate gene regulatory network inference using ensemble machine learning methods
por: Alawad, Duaa Mohammad, et al.
Publicado: (2023)

From time-series transcriptomics to gene regulatory networks: A review on inference methods
por: Marku, Malvina, et al.
Publicado: (2023)

Inferring the conservative causal core of gene regulatory networks
por: Altay, Gökmen, et al.
Publicado: (2010)

The Inferred Cardiogenic Gene Regulatory Network in the Mammalian Heart
por: Bazil, Jason N., et al.
Publicado: (2014)

Inferring transcription factor collaborations in gene regulatory networks
por: Awad, Sherine, et al.
Publicado: (2014)

Validation of gene regulatory network inference based on controllability
por: Qian, Xiaoning, et al.
Publicado: (2013)

An Integrative Approach to Inferring Gene Regulatory Module Networks
por: Baitaluk, Michael, et al.
Publicado: (2012)

Inferring slowly-changing dynamic gene-regulatory networks
por: Wit, Ernst C, et al.
Publicado: (2015)

Integrative random forest for gene regulatory network inference
por: Petralia, Francesca, et al.
Publicado: (2015)

Prophetic Granger Causality to infer gene regulatory networks
por: Carlin, Daniel E., et al.
Publicado: (2017)

Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method
por: Yu, Bin, et al.
Publicado: (2017)

KBoost: a new method to infer gene regulatory networks from gene expression data
por: Iglesias-Martinez, Luis F., et al.
Publicado: (2021)

Forecasting tourist arrivals by using the adaptive network-based fuzzy inference system
por: Chen, Miao-Sheng, et al.
Publicado: (2010)

A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower Forecasting
por: Rathnayake, Namal, et al.
Publicado: (2022)

Matlab algorithms for traffic light assignment using fuzzy graph, fuzzy chromatic number, and fuzzy inference system
por: Rosyida, Isnaini, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_v96v7i5avktptk9tmrp76sunvu