Automated learning of generative models for subcellular location: building blocks for systems biology.
about
Bioimage informatics: a new area of engineering biology.Inferring biological structures from super-resolution single molecule images using generative modelsJoint modeling of cell and nuclear shape variationBioimage informatics for experimental biologyCurrent automated 3D cell detection methods are not a suitable replacement for manual stereologic cell countingUnbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of TrajectoriesSimuCell: a flexible framework for creating synthetic microscopy images.Closed-form density-based framework for automatic detection of cellular morphology changesComputational spatiotemporal analysis identifies WAVE2 and cofilin as joint regulators of costimulation-mediated T cell actin dynamicsUsing simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms.A generative model of microtubule distributions, and indirect estimation of its parameters from fluorescence microscopy imagesInstance-Based Generative Biological Shape Modeling.Image-derived, three-dimensional generative models of cellular organizationAn active role for machine learning in drug developmentCommunicating subcellular distributionsSimulation of bright-field microscopy images depicting pap-smear specimen.Building cell models and simulations from microscope images.Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules.Improved synapse detection for mGRASP-assisted brain connectivity mapping.A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue.Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue imagesVirtual cell imaging: A review on simulation methods employed in image cytometry.Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment.Point process models for localization and interdependence of punctate cellular structures.Automated image analysis for high-content screening and analysis.Subcellular fractionation methods and strategies for proteomics.Systematic approaches to dissect biological processes in stem cells by image-based screening.Toward the virtual cell: automated approaches to building models of subcellular organization "learned" from microscopy images.New methods for quantifying and visualizing information from images of cells: An overview.Image-based systems biology of infection.CellOrganizer: Image-derived models of subcellular organization and protein distribution.Penalized Fisher Discriminant Analysis and Its Application to Image-Based MorphometryAutomated Proteome-Wide Determination of Subcellular Location Using High Throughput Microscopy.Bioengineering and imaging research opportunities workshop V: summary of findings on imaging and characterizing structure and function in native and engineered tissues.Bioengineering and Imaging Research Opportunities Workshop V: a white paper on imaging and characterizing structure and function in native and engineered tissues.Three-dimensional segmentation of nuclei and mitotic chromosomes for the study of cell divisions in live Drosophila embryos.Image-based systems biology.A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopy
P2860
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P2860
Automated learning of generative models for subcellular location: building blocks for systems biology.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Automated learning of generati ...... ng blocks for systems biology.
@en
Automated learning of generati ...... ng blocks for systems biology.
@nl
type
label
Automated learning of generati ...... ng blocks for systems biology.
@en
Automated learning of generati ...... ng blocks for systems biology.
@nl
prefLabel
Automated learning of generati ...... ng blocks for systems biology.
@en
Automated learning of generati ...... ng blocks for systems biology.
@nl
P356
P1433
P1476
Automated learning of generati ...... ng blocks for systems biology.
@en
P2093
Robert F Murphy
P304
P356
10.1002/CYTO.A.20487
P577
2007-12-01T00:00:00Z