Progress in methods for copy number variation profiling

V Gordeeva, E Sharova, G Arapidi - International journal of molecular …, 2022 - mdpi.com
Copy number variations (CNVs) are the predominant class of structural genomic variations
involved in the processes of evolutionary adaptation, genomic disorders, and disease …

Robust Distance Measures for kNN Classification of Cancer Data

R Ehsani, F Drabløs - Cancer informatics, 2020 - journals.sagepub.com
The k-Nearest Neighbor (k NN) classifier represents a simple and very general approach to
classification. Still, the performance of k NN classifiers can often compete with more complex …

HMZDupFinder: a robust computational approach for detecting intragenic homozygous duplications from exome sequencing data

H Du, Z Dardas, A Jolly, CM Grochowski… - Nucleic Acids …, 2024 - academic.oup.com
Homozygous duplications contribute to genetic disease by altering gene dosage or
disrupting gene regulation and can be more deleterious to organismal biology than …

Detection of copy-number variations from NGS data using read depth information: a diagnostic performance evaluation

O Quenez, K Cassinari, S Coutant… - European Journal of …, 2021 - nature.com
The detection of copy-number variations (CNVs) from NGS data is underexploited as chip-
based or targeted techniques are still commonly used. We assessed the performances of a …

Unsupervised saliency detection via knn mechanism and object-biased prior

X Zhou, Z Ren, S Zhou, T Yu, Z Jiang - Neural Processing Letters, 2023 - Springer
In recent years, some researchers have put forth the compactness hypothesis, which
suggests that similar colours tend to accumulate in the salient region as opposed to the non …

Evaluation platform for ddm algorithms with the usage of non-uniform data distribution strategies

M Markiewicz, J Koperwas - International Journal of Information …, 2022 - igi-global.com
Huge amounts of data are collected in numerous independent data storage facilities around
the world. However, how the data is distributed between physical locations remains …

Comprehensive classification assessment of GNSS observation data quality by fusing k-means and KNN algorithms

M Li, G Huang, L Wang, W Xie - GPS Solutions, 2024 - Springer
The observation data is the basis for the global navigation satellite system (GNSS) to
provide positioning, navigation and timing (PNT) service, and the observation quality directly …

Detection of homozygous and hemizygous complete or partial exon deletions by whole-exome sequencing

B Bigio, Y Seeleuthner, G Kerner… - NAR genomics and …, 2021 - academic.oup.com
The detection of copy number variations (CNVs) in whole-exome sequencing (WES) data is
important, as CNVs may underlie a number of human genetic disorders. The recently …

CNVind: an open source cloud-based pipeline for rare CNVs detection in whole exome sequencing data based on the depth of coverage

W Kuśmirek, R Nowak - BMC bioinformatics, 2022 - Springer
Abstract Background A typical Copy Number Variations (CNVs) detection process based on
the depth of coverage in the Whole Exome Sequencing (WES) data consists of several …

Simultaneous detection of EGFR amplification and EGFRvIII variant using digital PCR-based method in glioblastoma

M Fontanilles, F Marguet, P Ruminy, C Basset… - Acta Neuropathologica …, 2020 - Springer
Epidermal growth factor receptor (EGFR) amplification and EGFR variant III (EGFRvIII,
deletion of exons 2–7) are of clinical interest for glioblastoma. The aim was to develop a …