Cargando…

Gene expression data classification using topology and machine learning models

BACKGROUND: Interpretation of high-throughput gene expression data continues to require mathematical tools in data analysis that recognizes the shape of the data in high dimensions. Topological data analysis (TDA) has recently been successful in extracting robust features in several applications dea...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dey, Tamal K., Mandal, Sayan, Mukherjee, Soham
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121583/ https://www.ncbi.nlm.nih.gov/pubmed/35596135 http://dx.doi.org/10.1186/s12859-022-04704-z

Ejemplares similares

Determining clinically relevant features in cytometry data using persistent homology
por: Mukherjee, Soham, et al.
Publicado: (2022)

A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data
por: Mandal, Sayan, et al.
Publicado: (2020)

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
por: Alharbi, Fadi, et al.
Publicado: (2023)

Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity
por: Samaddar, Poulami, et al.
Publicado: (2022)

Advanced data analytics using Python: with machine learning, deep learning and NLP examples
por: Mukhopadhyay, Sayan
Publicado: (2018)

Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning
por: Roy, Shikha, et al.
Publicado: (2020)

Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data
por: Glaab, Enrico, et al.
Publicado: (2012)

Designing machine learning workflows with an application to topological data analysis
por: Cawi, Eric, et al.
Publicado: (2019)

Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification
por: Liu, Yanqiu, et al.
Publicado: (2016)

Correction: Designing machine learning workflows with an application to topological data analysis
por: Cawi, Eric, et al.
Publicado: (2020)

Data set and machine learning models for the classification of network traffic originators
por: Canavese, Daniele, et al.
Publicado: (2022)

The quest for the reliability of machine learning models in binary classification on tabular data
por: Araujo Santos, Vitor Cirilo, et al.
Publicado: (2023)

Deep learning techniques for cancer classification using microarray gene expression data
por: Gupta, Surbhi, et al.
Publicado: (2022)

Machine learning models and algorithms for big data classification: thinking with examples for effective learning
por: Suthaharan, Shan
Publicado: (2015)

Classification of Dengue Fever Patients Based on Gene Expression Data Using Support Vector Machines
por: Gomes, Ana Lisa V., et al.
Publicado: (2010)

Medical Data Classification Assisted by Machine Learning Strategy
por: Wang, Lei, et al.
Publicado: (2022)

Analyzing collective motion with machine learning and topology
por: Bhaskar, Dhananjay, et al.
Publicado: (2019)

A Survey of Topological Machine Learning Methods
por: Hensel, Felix, et al.
Publicado: (2021)

Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification
por: Kazeminejad, Amirali, et al.
Publicado: (2019)

Gene selection and classification for cancer microarray data based on machine learning and similarity measures
por: Liu, Qingzhong, et al.
Publicado: (2011)

An enhanced topologically significant directed random walk in cancer classification using gene expression datasets
por: Seah, Choon Sen, et al.
Publicado: (2017)

Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data
por: Majumder, Subhasree, et al.
Publicado: (2022)

Driving behavior analysis and classification by vehicle OBD data using machine learning
por: kumar, Raman, et al.
Publicado: (2023)

Learning misclassification costs for imbalanced classification on gene expression data
por: Lu, Huijuan, et al.
Publicado: (2019)

A topological data analytic approach for discovering biophysical signatures in protein dynamics
por: Tang, Wai Shing, et al.
Publicado: (2022)

Classification model for accuracy and intrusion detection using machine learning approach
por: Agarwal, Arushi, et al.
Publicado: (2021)

Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data
por: Moore, Ryan, et al.
Publicado: (2021)

A Predictive Framework for Integrating Disparate Genomic Data Types Using Sample-Specific Gene Set Enrichment Analysis and Multi-Task Learning
por: Bennett, Brian D., et al.
Publicado: (2012)

MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model
por: Karalidou, Vasiliki, et al.
Publicado: (2022)

Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model
por: Tang, Li, et al.
Publicado: (2020)

Machine learning classification of ADHD and HC by multimodal serotonergic data
por: Kautzky, A., et al.
Publicado: (2020)

Medical and Health Data Classification Method Based on Machine Learning
por: Zeng, Yu, et al.
Publicado: (2021)

Morphological Neuron Classification Using Machine Learning
por: Vasques, Xavier, et al.
Publicado: (2016)

Classification of Malicious URLs Using Machine Learning
por: Abad, Shayan, et al.
Publicado: (2023)

Self-directed online machine learning for topology optimization
por: Deng, Changyu, et al.
Publicado: (2022)

Topology Applied to Machine Learning: From Global to Local
por: Adams, Henry, et al.
Publicado: (2021)

Raman spectroscopy and topological machine learning for cancer grading
por: Conti, Francesco, et al.
Publicado: (2023)

Resolving the topological classification of bismuth with topological defects
por: Nayak, Abhay Kumar, et al.
Publicado: (2019)

Correction: A Predictive Framework for Integrating Disparate Genomic Data Types Using Sample-Specific Gene Set Enrichment Analysis and Multi-Task Learning
por: Bennett, Brian D., et al.
Publicado: (2013)

Deep-Learning-Based Cancer Profiles Classification Using Gene Expression Data Profile
por: Almarzouki, Hatim Z
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_vooqd4v9i0g6247utba7ii02t0