Median absolute deviation to improve hit selection for genome-scale RNAi screens. - Wikidata - awgldk - TriplyDB

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

http://www.wikidata.org/entity/Q33316277

about

Characteristic differences between the promoters of intron-containing and intronless ribosomal protein genes in yeast.Statistical methods for analysis of high-throughput RNA interference screens Hit selection with false discovery rate control in genome-scale RNAi screens TDP-43 identified from a genome wide RNAi screen for SOD1 regulators Identification of genes that are essential to restrict genome duplication to once per cell division Assessment of template-free modeling in CASP10 and ROLL.Identification of chemosensitivity nodes for vinblastine through small interfering RNA high-throughput screens.GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.Factors affecting reproducibility between genome-scale siRNA-based screens.Analysis of high-throughput RNAi screening data in identifying genes mediating sensitivity to chemotherapeutic drugs: statistical approaches and perspectives Rapid Assessment and Visualization of Normality in High-Content and Other Cell-Level Data and Its Impact on the Interpretation of Experimental Results.Spheroid arrays for high-throughput single-cell analysis of spatial patterns and biomarker expression in 3D Data Analysis for High-Throughput RNAi Screening.Detection of intracellular granularity induction in prostate cancer cell lines by small molecules using the HyperCyt high-throughput flow cytometry system.web cellHTS2: a web-application for the analysis of high-throughput screening data.A suite of MATLAB-based computational tools for automated analysis of COPAS Biosort data.Common seed analysis to identify off-target effects in siRNA screens.High-throughput screening for genes that prevent excess DNA replication in human cells and for molecules that inhibit them MScreen: an integrated compound management and high-throughput screening data storage and analysis system.Targeting breast cancer stem cells.ATARiS: computational quantification of gene suppression phenotypes from multisample RNAi screens Large-scale screening identifies a novel microRNA, miR-15a-3p, which induces apoptosis in human cancer cell lines.Human genome-wide RNAi screen reveals a role for nuclear pore proteins in poxvirus morphogenesis Recent adaptive events in human brain revealed by meta-analysis of positively selected genes.Miniature short hairpin RNA screens to characterize antiproliferative drugs Identifying novel glioma associated pathways based on systems biology level meta-analysis Identification of mammalian proteins that collaborate with type III secretion system function: involvement of a chemokine receptor in supporting translocon activity MiRNA mimic screen for improved expression of functional neurotensin receptor from HEK293 cells Pathway-based analysis of genome-wide siRNA screens reveals the regulatory landscape of APP processing.Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects Identification of thyroid tumor cell vulnerabilities through a siRNA-based functional screening Aurora B kinase is a potent and selective target in MYCN-driven neuroblastoma Zoster Vaccination Increases the Breadth of CD4+ T Cells Responsive to Varicella Zoster Virus.Functional genomics identifies therapeutic targets for MYC-driven cancer.High-Throughput Screening for Identification of Blood-Brain Barrier Integrity Enhancers: A Drug Repurposing Opportunity to Rectify Vascular Amyloid Toxicity.Identification of epigenetic factors regulating the mesenchyme to epithelium transition by RNA interference screening in breast cancer cells.Genome-wide gain-of-function screen for genes that induce epithelial-to-mesenchymal transition in breast cancer A high-throughput chemical screen reveals that harmine-mediated inhibition of DYRK1A increases human pancreatic beta cell replication.Functional Genomic Screening Reveals Splicing of the EWS-FLI1 Fusion Transcript as a Vulnerability in Ewing Sarcoma.Extensive CD4 and CD8 T Cell Cross-Reactivity between Alphaherpesviruses.

P2860

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P2860

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

http://www.wikidata.org/entity/Q33316277

description

2008 nî lūn-bûn

@nan

2008 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

name

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@ast

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@en

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@nl

type

label

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@ast

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@en

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@nl

prefLabel

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@ast

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@en

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@nl

P1433

Q33316277-5C07F3D6-BBB4-4AFB-82CA-CF328FF60F23

P1476

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P2093

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P304

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P31

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P433

Q33316277-9F818F9F-21EE-4001-A715-2DABEFBFC237

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P577

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P5875

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P698

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P356

1087057107312035

P1433

Journal of Biomolecular Screening

P1476

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

@en

P2093

Anthony Kreamer

http://www.w3.org/2001/XMLSchema#string

Berta Strulovici

http://www.w3.org/2001/XMLSchema#string

Louis Locco

http://www.w3.org/2001/XMLSchema#string

Marc Ferrer

http://www.w3.org/2001/XMLSchema#string

Namjin Chung

http://www.w3.org/2001/XMLSchema#string

Pei-Fen Kuan

http://www.w3.org/2001/XMLSchema#string

Peter S Linsley

http://www.w3.org/2001/XMLSchema#string

Steven Bartz

http://www.w3.org/2001/XMLSchema#string

P304

149-158

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1177/1087057107312035

http://www.w3.org/2001/XMLSchema#string

P433

2

http://www.w3.org/2001/XMLSchema#string

P478

13

http://www.w3.org/2001/XMLSchema#string

P50

Xiaohua Douglas Zhang

P577

2008-01-23T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

5636130

http://www.w3.org/2001/XMLSchema#string

P698

18216396

http://www.w3.org/2001/XMLSchema#string