Cargando…

A Comparison of Methods for Classifying Clinical Samples Based on Proteomics Data: A Case Study for Statistical and Machine Learning Approaches

The discovery of protein variation is an important strategy in disease diagnosis within the biological sciences. The current benchmark for elucidating information from multiple biological variables is the so called “omics” disciplines of the biological sciences. Such variability is uncovered by impl...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sampson, Dayle L., Parker, Tony J., Upton, Zee, Hurst, Cameron P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2011
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182169/ https://www.ncbi.nlm.nih.gov/pubmed/21969867 http://dx.doi.org/10.1371/journal.pone.0024973

Ejemplares similares

A Fragment of the LG3 Peptide of Endorepellin Is Present in the Urine of Physically Active Mining Workers: A Potential Marker of Physical Activity
por: Parker, Tony J., et al.
Publicado: (2012)

Multi-Level Comparison of Machine Learning Classifiers and Their Performance Metrics
por: Rácz, Anita, et al.
Publicado: (2019)

Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity
por: Ahamad, Md. Martuza, et al.
Publicado: (2022)

Classifying kinase conformations using a machine learning approach
por: McSkimming, Daniel Ian, et al.
Publicado: (2017)

Evaluating hierarchical machine learning approaches to classify biological databases
por: Rezende, Pâmela M, et al.
Publicado: (2022)

q2-sample-classifier: machine-learning tools for microbiome classification and regression
por: Bokulich, Nicholas A, et al.
Publicado: (2018)

A comparison of machine learning classifiers for smartphone-based gait analysis
por: Altilio, Rosa, et al.
Publicado: (2021)

Method for Classifying Schizophrenia Patients Based on Machine Learning
por: Soria, Carmen, et al.
Publicado: (2023)

PIC-Me: paralogs and isoforms classifier based on machine-learning approaches
por: Oh, Jooseong, et al.
Publicado: (2021)

An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices
por: B, Kishore, et al.
Publicado: (2022)

Statistical reinforcement learning: modern machine learning approaches
por: Sugiyama, Masashi
Publicado: (2015)

Statistical and machine learning approaches for network analysis
por: Dehmer, Matthias, et al.
Publicado: (2012)

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
por: Deist, Timo M., et al.
Publicado: (2018)

A Comparison of Machine Learning Classifiers for Energy-Efficient Implementation of Seizure Detection
por: Manzouri, Farrokh, et al.
Publicado: (2018)

Comparison of Different Machine Learning Classifiers for Glaucoma Diagnosis Based on Spectralis OCT
por: Wu, Chao-Wei, et al.
Publicado: (2021)

Statistical and neural classifiers : an integrated approach to design /
por: Raudys, Šarūnas
Publicado: (2001)

Machine-Learning Approaches for Classifying Haplogroup from Y Chromosome STR Data
por: Schlecht, Joseph, et al.
Publicado: (2008)

New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music
por: Rhodes, Chris, et al.
Publicado: (2020)

Novel criteria to classify ARDS severity using a machine learning approach
por: Sayed, Mohammed, et al.
Publicado: (2021)

Machine learning approaches classify clinical malaria outcomes based on haematological parameters
por: Morang’a, Collins M., et al.
Publicado: (2020)

Single classifier vs. ensemble machine learning approaches for mental health prediction
por: Chung, Jetli, et al.
Publicado: (2023)

A voting-based machine learning approach for classifying biological and clinical datasets
por: Daneshvar, Negar Hossein-Nezhad, et al.
Publicado: (2023)

Machine learning techniques for classifying dangerous asteroids
por: Malakouti, Seyed Matin, et al.
Publicado: (2023)

Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning
por: Böhm, Fabian, et al.
Publicado: (2022)

Machine learning: a practical approach on the statistical learning theory
por: Fernandes de Mello, Rodrigo, et al.
Publicado: (2018)

Screening for in vitro systematic reviews: a comparison of screening methods and training of a machine learning classifier
por: Wilson, Emma, et al.
Publicado: (2023)

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study
por: Visweswaran, Shyam, et al.
Publicado: (2020)

Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence
por: Dimitsaki, Stella, et al.
Publicado: (2023)

Integrating Statistical and Machine Learning Approaches for Neural Classification
por: SARMASHGHI, MEHRAD, et al.
Publicado: (2022)

Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia
por: Chilyabanyama, Obvious Nchimunya, et al.
Publicado: (2022)

Classifying Response Correctness across Different Task Sets: A Machine Learning Approach
por: Plewan, Thorsten, et al.
Publicado: (2016)

Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors
por: Zemp, Roland, et al.
Publicado: (2016)

Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers
por: Abid, Mariem, et al.
Publicado: (2021)

Classifying Drugs by their Arrhythmogenic Risk Using Machine Learning
por: Sahli-Costabal, Francisco, et al.
Publicado: (2020)

Framework for Testing Robustness of Machine Learning-Based Classifiers
por: Chuah, Joshua, et al.
Publicado: (2022)

Classifying grains using behaviour-informed machine learning
por: Laudari, Sudip, et al.
Publicado: (2022)

Machine learning magnetism classifiers from atomic coordinates
por: Merker, Helena A., et al.
Publicado: (2022)

Estimating the Optimal Dexketoprofen Pharmaceutical Formulation with Machine Learning Methods and Statistical Approaches
por: Başkor, Atakan, et al.
Publicado: (2021)

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images
por: Sadhwani, Apaar, et al.
Publicado: (2021)

Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study
por: Chi, Nathan A, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_j80cv99ipmn27ui5lbjaffgrs9