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Related Experiment Video

Updated: Jun 17, 2026

Roughness Impact of Piezoelectric Dental Scaler on Two Distinct Flowable Composite Filling Materials

Roughness Impact of Piezoelectric Dental Scaler on Two Distinct Flowable Composite Filling Materials

Published on: January 10, 2025

Waved aCGH: to smooth or not to smooth.

F Leprêtre¹, C Villenet, S Quief

¹Univ Lille Nord de France, F-59000 Lille, France. frederic.lepretre@inserm.fr

Nucleic Acids Research

|January 15, 2010

Summary

A new algorithm called waves aCGH correction algorithm (WACA) effectively removes technical

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Published on: April 4, 2017

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Last Updated: Jun 17, 2026

Roughness Impact of Piezoelectric Dental Scaler on Two Distinct Flowable Composite Filling Materials

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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Array-based comparative genomic hybridization (aCGH) is crucial for detecting genomic imbalances.
aCGH data analysis is often confounded by a technical artifact known as 'waves'.

Purpose of the Study:

To develop a novel algorithm for reducing noise in aCGH data.
To improve the accuracy of genomic imbalance detection using aCGH.

Main Methods:

Development of the waves aCGH correction algorithm (WACA).
Algorithm based on GC content and fragment size correction.
Application and validation on real and simulated aCGH data.

Main Results:

WACA effectively removes the 'wave' artifact from aCGH data.
The algorithm significantly enhances the accuracy of aCGH data analysis.
WACA outperforms existing noise reduction algorithms for aCGH.

Conclusions:

WACA is a significant improvement for aCGH data analysis.
The algorithm provides accurate detection of genomic imbalances by correcting biases.
WACA is freely available as supplementary data.