Cargando…

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis

BACKGROUND: Multicellular organisms consist of cells of many different types that are established during development. Each type of cell is characterized by the unique combination of expressed gene products as a result of spatiotemporal gene regulation. Currently, a fundamental challenge in regulator...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Wenlu, Feng, Daming, Li, Rongjian, Chernikov, Andrey, Chrisochoides, Nikos, Osgood, Christopher, Konikoff, Charlotte, Newfeld, Stuart, Kumar, Sudhir, Ji, Shuiwang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879658/ https://www.ncbi.nlm.nih.gov/pubmed/24373308 http://dx.doi.org/10.1186/1471-2105-14-372

Ejemplares similares

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
por: Li, Rongjian, et al.
Publicado: (2014)

FlyExpress 7: An Integrated Discovery Platform To Study Coexpressed Genes Using in Situ Hybridization Images in Drosophila
por: Kumar, Sudhir, et al.
Publicado: (2017)

Image-level and group-level models for Drosophila gene expression pattern annotation
por: Sun, Qian, et al.
Publicado: (2013)

A bag-of-words approach for Drosophila gene expression pattern annotation
por: Ji, Shuiwang, et al.
Publicado: (2009)

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain
por: Zeng, Tao, et al.
Publicado: (2015)

Structured adaptive mesh refinement (SAMR) grid methods
por: Baden, Scott, et al.
Publicado: (2000)

Hippo Pathway Phylogenetics Predicts Monoubiquitylation of Salvador and Merlin/Nf2
por: Wisotzkey, Robert G., et al.
Publicado: (2012)

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression
por: Yuan, Lei, et al.
Publicado: (2014)

Workshop on Structured Adaptive Mesh Refinement Grid Methods
por: Chrisochoides, N
Publicado: (1997)

Estimating loop length from CryoEM images at medium resolutions
por: McKnight, Andrew, et al.
Publicado: (2013)

Distinct Molecular Evolutionary Mechanisms Underlie the Functional Diversification of the Wnt and TGFβ Signaling Pathways
por: Konikoff, Charlotte E., et al.
Publicado: (2010)

A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework
por: Bird, M., et al.
Publicado: (2021)

Machine intelligence-driven framework for optimized hit selection in virtual screening
por: Kumar, Neeraj, et al.
Publicado: (2022)

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research
por: Wozniak, Justin M., et al.
Publicado: (2018)

Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolution
por: Beissinger, Timothy M., et al.
Publicado: (2017)

Toward a real time multi-tissue Adaptive Physics-Based Non-Rigid Registration framework for brain tumor resection
por: Drakopoulos, Fotis, et al.
Publicado: (2014)

An improved pollen number counting method using a cell counter and mesh columns
por: Kakui, Hiroyuki, et al.
Publicado: (2020)

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean
por: Naik, Hsiang Sing, et al.
Publicado: (2017)

Reconstruction of a maxillary defect with a fibula graft and titanium mesh using CAD/CAM techniques.
por: Lethaus, Bernd, et al.
Publicado: (2010)

A graph-based filtering method for top-down mass spectral identification
por: Yang, Runmin, et al.
Publicado: (2018)

Transgenic Analyses in Drosophila Reveal That mCORL1 Is Functionally Distinct from mCORL2 and dCORL
por: Stinchfield, Michael J., et al.
Publicado: (2019)

Functional networks inference from rule-based machine learning models
por: Lazzarini, Nicola, et al.
Publicado: (2016)

Linked open data-based framework for automatic biomedical ontology generation
por: Alobaidi, Mazen, et al.
Publicado: (2018)

Incomplete replication generates somatic DNA alterations within Drosophila polytene salivary gland cells
por: Yarosh, Will, et al.
Publicado: (2014)

A hierarchical machine learning framework for the analysis of large scale animal movement data
por: Torney, Colin J., et al.
Publicado: (2021)

SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions
por: Lee, Justin Y., et al.
Publicado: (2021)

A novel mesh processing based technique for 3D plant analysis
por: Paproki, Anthony, et al.
Publicado: (2012)

Reconstruction of defects of maxillary sinus wall after removal of a huge odontogenic lesion using prebended 3D titanium-mesh and CAD/CAM technique
por: Stoetzer, Marcus, et al.
Publicado: (2011)

CORL Expression in the Drosophila Central Nervous System Is Regulated by Stage Specific Interactions of Intertwined Activators and Repressors
por: Tran, Nancy L., et al.
Publicado: (2018)

nQuire: a statistical framework for ploidy estimation using next generation sequencing
por: Weiß, Clemens L., et al.
Publicado: (2018)

An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers
por: Yu, Hui, et al.
Publicado: (2021)

Synthetic learning machines
por: Ishwaran, Hemant, et al.
Publicado: (2014)

On studentized residuals in the quantile regression framework
por: Ranganai, Edmore
Publicado: (2016)

An introduction to Mesh generation
por: Weatherill, N
Publicado: (2001)

Delaunay mesh generation
por: Cheng, Siu-Wing, et al.
Publicado: (2013)

An integrated framework for the geographic surveillance of chronic disease
por: Yiannakoulias, Nikolaos, et al.
Publicado: (2009)

A framework for assessing the feasibility of malaria elimination
por: Moonen, Bruno, et al.
Publicado: (2010)

A framework for clinical reasoning in adult cardiology
por: de la Calzada, Carlos S
Publicado: (2015)

Pilot and feasibility studies: extending the conceptual framework
por: Bond, Christine, et al.
Publicado: (2023)

An intuitive framework for Bayesian posterior simulation methods
por: Bidhendi Yarandi, Razieh, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_fbqhrjdms96n9bi7hps55vm2n6