Cargando…

Phenotype Classification of Zebrafish Embryos by Supervised Learning

Zebrafish is increasingly used to assess biological properties of chemical substances and thus is becoming a specific tool for toxicological and pharmacological studies. The effects of chemical substances on embryo survival and development are generally evaluated manually through microscopic observa...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jeanray, Nathalie, Marée, Raphaël, Pruvot, Benoist, Stern, Olivier, Geurts, Pierre, Wehenkel, Louis, Muller, Marc
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289190/ https://www.ncbi.nlm.nih.gov/pubmed/25574849 http://dx.doi.org/10.1371/journal.pone.0116989

Ejemplares similares

Zebrafish Bone and General Physiology Are Differently Affected by Hormones or Changes in Gravity
por: Aceto, Jessica, et al.
Publicado: (2015)

Random subwindows and extremely randomized trees for image classification in cell biology
por: Marée, Raphaël, et al.
Publicado: (2007)

Classifying pairs with trees for supervised biological network inference
por: Schrynemackers, Marie, et al.
Publicado: (2015)

Self-supervised maize kernel classification and segmentation for embryo identification
por: Dong, David, et al.
Publicado: (2023)

Collaborative analysis of multi-gigapixel imaging data using Cytomine
por: Marée, Raphaël, et al.
Publicado: (2016)

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
por: Otálora, Sebastian, et al.
Publicado: (2021)

The Impact of Tumor Nitric Oxide Production on VEGFA Expression and Tumor Growth in a Zebrafish Rat Glioma Xenograft Model
por: Yousfi, Nadhir, et al.
Publicado: (2015)

Self-supervised Learning for Semi-supervised Time Series Classification
por: Jawed, Shayan, et al.
Publicado: (2020)

Heat induces multiomic and phenotypic stress propagation in zebrafish embryos
por: Feugere, Lauric, et al.
Publicado: (2023)

Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies
por: Botta, Vincent, et al.
Publicado: (2014)

Dietary Contaminants and Their Effects on Zebrafish Embryos
por: Tye, Marc, et al.
Publicado: (2019)

Efficient phenotypic sex classification of zebrafish using machine learning methods
por: Hosseini, Shahrbanou, et al.
Publicado: (2019)

High-density lipoprotein proteome dynamics in human endotoxemia
por: Levels, Johannes HM, et al.
Publicado: (2011)

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
por: Huynh-Thu, Vân Anh, et al.
Publicado: (2010)

Genetic Classification of Populations Using Supervised Learning
por: Bridges, Michael, et al.
Publicado: (2011)

Automated staging of zebrafish embryos with deep learning
por: Jones, Rebecca A, et al.
Publicado: (2023)

Multilingual RECIST classification of radiology reports using supervised learning
por: Mottin, Luc, et al.
Publicado: (2023)

Proteomics of early zebrafish embryos
por: Link, Vinzenz, et al.
Publicado: (2006)

FLPe functions in zebrafish embryos
por: Wong, Andrew C., et al.
Publicado: (2010)

Microbead Implantation in the Zebrafish Embryo
por: Gerlach, Gary F., et al.
Publicado: (2015)

Active semi-supervised learning for biological data classification
por: Camargo, Guilherme, et al.
Publicado: (2020)

Deep semi-supervised learning for brain tumor classification
por: Ge, Chenjie, et al.
Publicado: (2020)

Diabetic retinopathy classification for supervised machine learning algorithms
por: Nakayama, Luis Filipe, et al.
Publicado: (2022)

A review of semi-supervised learning for text classification
por: Duarte, José Marcio, et al.
Publicado: (2023)

Supervised machine learning aided behavior classification in pigeons
por: Wittek, Neslihan, et al.
Publicado: (2022)

Automated staging of zebrafish embryos using machine learning
por: Jones, Rebecca A., et al.
Publicado: (2023)

Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning
por: Zhou, Lei, et al.
Publicado: (2023)

A rich internet application for remote visualization and collaborative annotation of digital slides in histology and cytology
por: Marée, Raphaël, et al.
Publicado: (2013)

Triclosan Lacks (Anti-)Estrogenic Effects in Zebrafish Cells but Modulates Estrogen Response in Zebrafish Embryos
por: Serra, Hélène, et al.
Publicado: (2018)

Erratum to “Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning”
por: Zhou, Lei, et al.
Publicado: (2023)

Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses
por: Wong, Kin Sun, et al.
Publicado: (2022)

Lack of Apobec2-related proteins causes a dystrophic muscle phenotype in zebrafish embryos
por: Etard, Christelle, et al.
Publicado: (2010)

Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem
por: Lovrić, Mario, et al.
Publicado: (2021)

Generating Chimeric Zebrafish Embryos by Transplantation
por: Kemp, Hilary A., et al.
Publicado: (2009)

Neurogenesis in zebrafish – from embryo to adult
por: Schmidt, Rebecca, et al.
Publicado: (2013)

Metabolic Profile Analysis of Zebrafish Embryos
por: Gibert, Yann, et al.
Publicado: (2013)

Diflubenzuron Induces Cardiotoxicity in Zebrafish Embryos
por: Han, Xue, et al.
Publicado: (2022)

Developmental Neurotoxicity of Difenoconazole in Zebrafish Embryos
por: Yang, Qing, et al.
Publicado: (2023)

QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms
por: Zwartjes, Ardjan, et al.
Publicado: (2016)

Supervised learning is an accurate method for network-based gene classification
por: Liu, Renming, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_79nnl1g1h0m021o4h11n5ojgum