Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
about
The genomic and transcriptomic landscape of a HeLa cell lineIntegrating high-content imaging and chemical genetics to probe host cellular pathways critical for Yersinia pestis infectionTime-lapse imaging of neuroblastoma cells to determine cell fate upon gene knockdownFluorescence-based high-throughput functional profiling of ligand-gated ion channels at the level of single cellsCellular phenotype database: a repository for systems microscopy dataImproving drug discovery with high-content phenotypic screens by systematic selection of reporter cell linesCyclebase 3.0: a multi-organism database on cell-cycle regulation and phenotypesDynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assayUnsupervised automated high throughput phenotyping of RNAi time-lapse moviesA probabilistic model for cell population phenotyping using HCS dataMultiparametric Analysis of Screening Data: Growing Beyond the Single Dimension to Infinity and Beyond.A Multivariate Computational Method to Analyze High-Content RNAi Screening DataRevealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data.Factor graph analysis of live cell-imaging data reveals mechanisms of cell fate decisions.Coherent somatic mutation in autoimmune disease.A gene-phenotype network for the laboratory mouse and its implications for systematic phenotyping.RNAi screening: new approaches, understandings, and organisms.Normalizing for individual cell population context in the analysis of high-content cellular screens.Essential gene profiles in breast, pancreatic, and ovarian cancer cells.Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations.Integrating protein-protein interaction networks with phenotypes reveals signs of interactions.A map of directional genetic interactions in a metazoan cell.A novel phenotypic dissimilarity method for image-based high-throughput screens.The Image Data Resource: A Bioimage Data Integration and Publication Platform.cellXpress: a fast and user-friendly software platform for profiling cellular phenotypes.Strategy for identifying repurposed drugs for the treatment of cerebral cavernous malformation.Systems biology in immunology: a computational modeling perspective.Population distribution analyses reveal a hierarchy of molecular players underlying parallel endocytic pathwaysComparative RNAi screening identifies a conserved core metazoan actinome by phenotype.Characterizing protein interactions employing a genome-wide siRNA cellular phenotyping screen.A comparative study of cell classifiers for image-based high-throughput screening.Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed EffectsA genetic interaction map of cell cycle regulators.Semantic integration of physiology phenotypes with an application to the Cellular Phenotype OntologyCell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes.How can functional annotations be derived from profiles of phenotypic annotations?A genomic Multiprocess survey of machineries that control and link cell shape, microtubule organization, and cell-cycle progressionNew insights into subcomplex assembly and modifications of centrosomal proteins.Light microscopy applications in systems biology: opportunities and challengesThe cellular microscopy phenotype ontology
P2860
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P2860
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
@en
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
@nl
type
label
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
@en
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
@nl
prefLabel
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
@en
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging.
@nl
P2093
P2860
P50
P356
P1476
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging
@en
P2093
Angelika Pedal
Dominique Kranz
Florian Fuchs
Gregoire Pau
Oleg Sklyar
Sandra Steinbrink
Thomas Horn
P2860
P356
10.1038/MSB.2010.25
P577
2010-06-01T00:00:00Z