Control-Plate Regression (CPR) Normalization for High-Throughput Screens with Many Active Features.
about
Strength and specificity of the CMBA screening platform for bioactive molecules discoveryImpact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose-response data.Identification of breast cancer recurrence risk factors based on functional pathways in tumor and normal tissues.Identification of functional pathways associated with the conditional ablation of serum response factor in Dstncorn1 mice.Identification of potential peripheral blood diagnostic biomarkers for patients with juvenile idiopathic arthritis by bioinformatics analysis.Splenic microRNA Expression Profiles and Integration Analyses Involved in Host Responses to Salmonella enteritidis Infection in Chickens.Identification of key genes in Gram‑positive and Gram‑negative sepsis using stochastic perturbation.Knowledge from Small-Molecule Screening and Profiling Data.
P2860
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P2860
Control-Plate Regression (CPR) Normalization for High-Throughput Screens with Many Active Features.
description
2013 nî lūn-bûn
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name
Control-Plate Regression (CPR) ...... ens with Many Active Features.
@en
Control-Plate Regression
@nl
type
label
Control-Plate Regression (CPR) ...... ens with Many Active Features.
@en
Control-Plate Regression
@nl
prefLabel
Control-Plate Regression (CPR) ...... ens with Many Active Features.
@en
Control-Plate Regression
@nl
P2860
P356
P1476
Control-Plate Regression (CPR) ...... eens with Many Active Features
@en
P2860
P304
P356
10.1177/1087057113516003
P577
2013-12-18T00:00:00Z