Anomalies detection in gene expression matrices: Towards a new approach

Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Maria Carmela Vegliante

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the main problems in analyzing real data is often related to the presence of anomalies. Anomalous cases may, in fact, spoil the resulting analysis as well as contain valuable information at the same time. In both cases, the ability to detect these occurrences is very important. Particularly, in biomedical field, a proper identification of outliers allows to develop novel biological hypotheses not taken into consideration when experimental biological data are considered. In this paper, we address the problem of detecting outlier samples in gene expression data. We propose an ensemble approach for anomalies detection in gene expression matrices based on the use of hierarchical clustering and Robust Principal Component Analysis, that allows to derive a novel pseudo mathematical classification of anomalies.

Original languageEnglish
Title of host publicationBIOINFORMATICS 2021 - 12th International Conference on Bioinformatics Models, Methods and Algorithms; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
EditorsRonny Lorenz, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages162-169
Number of pages8
ISBN (Electronic)9789897584909
Publication statusPublished - 2021
Event12th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 - Virtual, Online
Duration: Feb 11 2021Feb 13 2021

Publication series

NameBIOINFORMATICS 2021 - 12th International Conference on Bioinformatics Models, Methods and Algorithms; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021

Conference

Conference12th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
CityVirtual, Online
Period2/11/212/13/21

Keywords

  • Clustering
  • Gene Expression Profiling
  • Outlier Detection
  • Robust PCA

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Anomalies detection in gene expression matrices: Towards a new approach'. Together they form a unique fingerprint.

Cite this