Cargando…

Elastic net-based prediction of IFN-β treatment response of patients with multiple sclerosis using time series microarray gene expression profiles

INF-β has been widely used to treat patients with multiple sclerosis (MS) in relapse. Accurate prediction of treatment response is important for effective personalization of treatment. Microarray data have been frequently used to discover new genes and to predict treatment responses. However, conven...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fukushima, Arika, Sugimoto, Masahiro, Hiwa, Satoru, Hiroyasu, Tomoyuki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6372673/ https://www.ncbi.nlm.nih.gov/pubmed/30755676 http://dx.doi.org/10.1038/s41598-018-38441-2

Ejemplares similares

Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles
por: Fukushima, Arika, et al.
Publicado: (2021)

Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm
por: Hiwa, Satoru, et al.
Publicado: (2018)

A Functional NIRS Study of Brain Functional Networks Induced by Social Time Coordination
por: Mizuno, Megumi, et al.
Publicado: (2019)

Functional near‐infrared spectroscopy study of the neural correlates between auditory environments and intellectual work performance
por: Hiwa, Satoru, et al.
Publicado: (2018)

Search for Specific Biomarkers of IFNβ Bioactivity in Patients with Multiple Sclerosis
por: Malhotra, Sunny, et al.
Publicado: (2011)

Pharmacogenomic study in patients with multiple sclerosis: Responders and nonresponders to IFN-β
por: Bustamante, Marta F., et al.
Publicado: (2015)

Cytokines as Biomarkers of Treatment Response to IFNβ in Relapsing-Remitting Multiple Sclerosis
por: Dimisianos, Nikolaos, et al.
Publicado: (2014)

Microarray analysis identifies a set of CXCR3 and CCR2 ligand chemokines as early IFNβ-responsive genes in peripheral blood lymphocytes in vitro: an implication for IFNβ-related adverse effects in multiple sclerosis
por: Satoh, Jun-ichi, et al.
Publicado: (2006)

Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis
por: Hiwa, Satoru, et al.
Publicado: (2016)

An older dog with newer tricks: Predicting efficacy of IFN-β treatment for multiple sclerosis
por: Wu, Gregory F., et al.
Publicado: (2016)

Identification of Monotonically Differentially Expressed Genes for IFN-β-Treated Multiple Sclerosis Patients
por: Tian, Suyan, et al.
Publicado: (2019)

Excessive Biologic Response to IFNβ Is Associated with Poor Treatment Response in Patients with Multiple Sclerosis
por: Rudick, Richard A., et al.
Publicado: (2011)

Preserved Antigen-Specific Immune Response in Patients with Multiple Sclerosis Responding to IFNβ-Therapy
por: Mehling, Matthias, et al.
Publicado: (2013)

Re-Evaluating the Use of IFN-β and Relapsing Multiple Sclerosis: Safety, Efficacy and Place in Therapy
por: Goldschmidt, Carolyn H, et al.
Publicado: (2020)

The STING-IFN-β-Dependent Axis Is Markedly Low in Patients with Relapsing-Remitting Multiple Sclerosis
por: Masanneck, Lars, et al.
Publicado: (2020)

Revealing Changes in Brain Functional Networks Caused by Focused-Attention Meditation Using Tucker3 Clustering
por: Miyoshi, Takuma, et al.
Publicado: (2020)

Serum levels of IgM to phosphatidylcholine predict the response of multiple sclerosis patients to natalizumab or IFN-β
por: Muñoz, Úrsula, et al.
Publicado: (2022)

Effects of IFN-β1a and IFN-β1b treatment on the expression of cytokines, inducible NOS (NOS type II), and myelin proteins in animal model of multiple sclerosis
por: Lubina-Dąbrowska, Natalia, et al.
Publicado: (2017)

Myxovirus Resistance Protein A mRNA Expression Kinetics in Multiple Sclerosis Patients Treated with IFNβ
por: Libertinova, Jana, et al.
Publicado: (2017)

Expression analysis of protein inhibitor of activated STAT (PIAS) genes in IFNβ-treated multiple sclerosis patients
por: Taheri, Mohammad, et al.
Publicado: (2018)

Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ
por: Waddington, Kirsty E., et al.
Publicado: (2020)

Feature selection based on differentially correlated gene pairs reveals the mechanism of IFN-β therapy for multiple sclerosis
por: Jin, Tao, et al.
Publicado: (2020)

The Dual Role of the β(2)-Adrenoreceptor in the Modulation of IL-17 and IFN-γ Production by T Cells in Multiple Sclerosis
por: Melnikov, Mikhail, et al.
Publicado: (2022)

Constructing a Multiple Sclerosis Diagnosis Model Based on Microarray
por: Li, Haoran, et al.
Publicado: (2022)

Expression analysis of protein inhibitor of activated STAT (PIAS) genes in IFNβ-treated multiple sclerosis patients [Corrigendum]
Publicado: (2019)

GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization
por: Khan, Christopher, et al.
Publicado: (2020)

Soluble Receptor Isoform of IFN-Beta (sIFNAR2) in Multiple Sclerosis Patients and Their Association With the Clinical Response to IFN-Beta Treatment
por: Aliaga-Gaspar, Pablo, et al.
Publicado: (2021)

Longitudinal time-domain optic coherence study of retinal nerve fiber layer in IFNβ-treated and untreated multiple sclerosis patients
por: PUL, REFIK, et al.
Publicado: (2016)

New aspects of the elastic net algorithm for cluster analysis
por: Lévano, Marcos, et al.
Publicado: (2010)

Wavelet-domain elastic net for clustering on genomes strains
por: Ferreira, Leila Maria, et al.
Publicado: (2018)

Predictive and interpretable models via the stacked elastic net
por: Rauschenberger, Armin, et al.
Publicado: (2020)

Adaptive group-regularized logistic elastic net regression
por: Münch, Magnus M, et al.
Publicado: (2019)

Elastic net regularized regression for time-series analysis of plasma metabolome stability under sub-optimal freezing condition
por: Gonzales, Gerard Bryan, et al.
Publicado: (2018)

Advances in Multiple Sclerosis Research–Series I
por: Apostolopoulos, Vasso, et al.
Publicado: (2020)

Immunoglobulin G1 and immunoglobulin G4 antibodies in multiple sclerosis patients treated with IFNβ interact with the endogenous cytokine and activate complement()
por: Sethu, Swaminathan, et al.
Publicado: (2013)

Consistent control of disease activity with fingolimod versus IFN β-1a in paediatric-onset multiple sclerosis: further insights from PARADIGMS
por: Deiva, Kumaran, et al.
Publicado: (2020)

Evaluation of the lasso and the elastic net in genome-wide association studies
por: Waldmann, Patrik, et al.
Publicado: (2013)

Robust meta-analysis of gene expression using the elastic net
por: Hughey, Jacob J., et al.
Publicado: (2015)

Pathway-Based Genomics Prediction using Generalized Elastic Net
por: Sokolov, Artem, et al.
Publicado: (2016)

Elastic-Net Copula Granger Causality for Inference of Biological Networks
por: Furqan, Mohammad Shaheryar, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_lf3dvk1rh3ariqvclk2g4avgh5