Statistical analysis of systematic errors in high-throughput screening.
about
High content screening in chemical biology: overview and main challengesAssay Establishment and Validation of a High-Throughput Screening Platform for Three-Dimensional Patient-Derived Colon Cancer Organoid CulturesA cell-free fluorometric high-throughput screen for inhibitors of Rtt109-catalyzed histone acetylationMinimizing Systematic Errors in Quantitative High Throughput Screening Data Using Standardization, Background Subtraction, and Non-Parametric RegressionEstimating Potency in High-Throughput Screening Experiments by Maximizing the Rate of Change in Weighted Shannon EntropyGUItars: a GUI tool for analysis of high-throughput RNA interference screening data.Rank ordering plate data facilitates data visualization and normalization in high-throughput screeningData-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening.Robust statistical methods for hit selection in RNA interference high-throughput screening experiments.Developing and validating predictive decision tree models from mining chemical structural fingerprints and high-throughput screening data in PubChem.Systematic error detection in experimental high-throughput screening.Optimization and application of median filter corrections to relieve diverse spatial patterns in microtiter plate data.High-throughput screening for genes that prevent excess DNA replication in human cells and for molecules that inhibit themExperimental design and statistical methods for improved hit detection in high-throughput screening.A new method with flexible and balanced control of false negatives and false positives for hit selection in RNA interference high-throughput screening assays.Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions.Detecting and removing multiplicative spatial bias in high-throughput screening technologies.Using clustering techniques to improve hit selection in high-throughput screening.Chemical genetics reveals a complex functional ground state of neural stem cells.Contextual automated 3D analysis of subcellular organelles adapted to high-content screening.
P2860
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P2860
Statistical analysis of systematic errors in high-throughput screening.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Statistical analysis of systematic errors in high-throughput screening.
@en
Statistical analysis of systematic errors in high-throughput screening.
@nl
type
label
Statistical analysis of systematic errors in high-throughput screening.
@en
Statistical analysis of systematic errors in high-throughput screening.
@nl
prefLabel
Statistical analysis of systematic errors in high-throughput screening.
@en
Statistical analysis of systematic errors in high-throughput screening.
@nl
P2860
P356
P1476
Statistical analysis of systematic errors in high-throughput screening.
@en
P2093
Dmytro Kevorkov
Vladimir Makarenkov
P2860
P304
P356
10.1177/1087057105276989
P577
2005-08-15T00:00:00Z