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Updated: Mar 16, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

Correction of Microplate Data from High-Throughput Screening.

Yuhong Wang¹, Ruili Huang²

¹National Center for Advancing Translational Sciences, National Institutes of Health, Building B, MSC: 3370, 9800 Medical Center Drive, Bethesda, MD, 20892, USA. wangyuh@mail.nih.gov.

Methods in Molecular Biology (Clifton, N.J.)

|August 13, 2016

Summary

This summary is machine-generated.

High-throughput screening (HTS) data contains unique errors. This study presents a systematic method using pattern recognition and digital signal processing to identify and correct these run-wise, plate-wise, and well-wise noises for improved data quality.

Keywords:

Concentration response Data correction HTS In vitro assay

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Area of Science:

Biotechnology
Bioinformatics
Data Science

Background:

High-throughput screening (HTS) enables large-scale cellular response data collection.
HTS data from microplates exhibit unique error characteristics.
Errors are categorized as run-wise, plate-wise, and well-wise.

Purpose of the Study:

To develop a systematic solution for identifying and correcting errors in HTS data.
To improve the reliability and accuracy of cellular response data analysis.

Main Methods:

Pattern recognition techniques are employed.
Digital signal processing technologies are utilized.
A systematic approach is applied to address different error categories.

Main Results:

The proposed method effectively identifies and corrects run-wise, plate-wise, and well-wise errors.
Improved data quality is achieved through noise reduction.

Conclusions:

A robust methodology for HTS data cleaning is established.
This approach enhances the utility of HTS data for drug discovery and biological research.