Cargando…

Differentiating between liver diseases by applying multiclass machine learning approaches to transcriptomics of liver tissue or blood-based samples

BACKGROUND & AIMS: Liver disease carries significant healthcare burden and frequently requires a combination of blood tests, imaging, and invasive liver biopsy to diagnose. Distinguishing between inflammatory liver diseases, which may have similar clinical presentations, is particularly challeng...

Descripción completa

Detalles Bibliográficos
Autores principales:	Listopad, Stanislav, Magnan, Christophe, Asghar, Aliya, Stolz, Andrew, Tayek, John A., Liu, Zhang-Xu, Morgan, Timothy R., Norden-Krichmar, Trina M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472076/ https://www.ncbi.nlm.nih.gov/pubmed/36119721 http://dx.doi.org/10.1016/j.jhepr.2022.100560

Ejemplares similares

A-Lister: a tool for analysis of differentially expressed omics entities across multiple pairwise comparisons
por: Listopad, Stanislav A., et al.
Publicado: (2019)

Characterization of the Small RNA Transcriptome of the Diatom, Thalassiosira pseudonana
por: Norden-Krichmar, Trina M., et al.
Publicado: (2011)

Whole transcriptome analysis of the silicon response of the diatom Thalassiosira pseudonana
por: Shrestha, Roshan Prakash, et al.
Publicado: (2012)

A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification
por: Eriksson, Pontus, et al.
Publicado: (2021)

Computational prediction and experimental validation of Ciona intestinalis microRNA genes
por: Norden-Krichmar, Trina M, et al.
Publicado: (2007)

A phase II, multicenter, open-label, randomized trial of pegfilgrastim for patients with alcohol-associated hepatitis
por: Tayek, John A., et al.
Publicado: (2022)

Gene expression profiling of fibroblasts in a family with LMNA-related cardiomyopathy reveals molecular pathways implicated in disease pathogenesis
por: Widyastuti, Halida P., et al.
Publicado: (2020)

DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning
por: Kakati, Tulika, et al.
Publicado: (2022)

Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types
por: Venkadesh, Siva, et al.
Publicado: (2018)

Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators
por: Muthukrishnan, Selvaraj, et al.
Publicado: (2014)

Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
por: Liu, Wuying, et al.
Publicado: (2014)

Tracking Foot Drop Recovery Following Lumbar-Spine Surgery, Applying Multiclass Gait Classification Using Machine Learning Techniques
por: Sharif Bidabadi, Shiva, et al.
Publicado: (2019)

multiclassPairs: an R package to train multiclass pair-based classifier
por: Marzouka, Nour-Al-Dain, et al.
Publicado: (2021)

Protective variant associated with alcohol dependence in a Mexican American cohort
por: Norden-Krichmar, Trina M, et al.
Publicado: (2014)

Microbial metabolic networks in a complex electrogenic biofilm recovered from a stimulus-induced metatranscriptomics approach
por: Ishii, Shun’ichi, et al.
Publicado: (2015)

Multiclass classification of microarray data samples with a reduced number of genes
por: Tapia, Elizabeth, et al.
Publicado: (2011)

Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine
por: Zhang, Yudong, et al.
Publicado: (2012)

Multiclass discovery in array data
por: Liu, Yingchun, et al.
Publicado: (2004)

Functionally Stable and Phylogenetically Diverse Microbial Enrichments from Microbial Fuel Cells during Wastewater Treatment
por: Ishii, Shun'ichi, et al.
Publicado: (2012)

Multiclass relevance units machine: benchmark evaluation and application to small ncRNA discovery
por: Menor, Mark, et al.
Publicado: (2013)

Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification
por: Wang, Yuanfa, et al.
Publicado: (2017)

High-precision multiclass cell classification by supervised machine learning on lectin microarray data
por: Shibata, Mayu, et al.
Publicado: (2020)

Multi-Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning
por: Gaikwad, Mayur, et al.
Publicado: (2023)

Occurrence of multiclass pesticide residues in tomato samples collected from different markets of Iran
por: Salamzadeh, Jamshid, et al.
Publicado: (2018)

Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot
por: Pérez-Reynoso, Francisco David, et al.
Publicado: (2021)

Multiclass Classification of Agro-Ecological Zones for Arabica Coffee: An Improved Understanding of the Impacts of Climate Change
por: Bunn, Christian, et al.
Publicado: (2015)

Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
Publicado: (2019)

Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine
por: Afza, Farhat, et al.
Publicado: (2022)

A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
por: Wajeed, Mohammed Abdul, et al.
Publicado: (2023)

Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study
por: Wan, Jia Y., et al.
Publicado: (2021)

Risk calculation charts for multiclass prediction models
por: Van Belle, Vanya, et al.
Publicado: (2015)

Multiclass Classification Based on Combined Motor Imageries
por: Lindig-León, Cecilia, et al.
Publicado: (2020)

Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection
por: Mao, Yong, et al.
Publicado: (2005)

Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients
por: Forkert, Nils Daniel, et al.
Publicado: (2015)

Comparison between Statistical Models and Machine Learning Methods on Classification for Highly Imbalanced Multiclass Kidney Data
por: Jeong, Bomi, et al.
Publicado: (2020)

A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine
por: Yan, Xiaoan, et al.
Publicado: (2020)

Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification
por: Vasques, Xavier, et al.
Publicado: (2023)

Association of mammographic density with blood DNA methylation
por: Lucia, Rachel M., et al.
Publicado: (2021)

Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis
por: Segera, Davies, et al.
Publicado: (2019)

Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy
por: Chiu, I-Min, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_3pgdujj7f7241aiikf66l60701