G Stegmayer
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Explore the profile of G Stegmayer including associated specialties, affiliations and a list of published articles.
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8
Citations
46
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Recent Articles
1.
Bugnon L, Edera A, Prochetto S, Gerard M, Raad J, Fenoy E, et al.
Brief Bioinform
. 2022 Jun;
23(4).
PMID: 35692094
Motivation: In contrast to messenger RNAs, the function of the wide range of existing long noncoding RNAs (lncRNAs) largely depends on their structure, which determines interactions with partner molecules. Thus,...
2.
Bugnon L, Raad J, Merino G, Yones C, Ariel F, Milone D, et al.
Mach Learn Appl
. 2021 Dec;
6:100150.
PMID: 34939043
The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) has been recently found responsible for the pandemic outbreak of a novel coronavirus disease (COVID-19). In this work, a novel approach based on...
3.
Yones C, Raad J, Bugnon L, Milone D, Stegmayer G
Comput Biol Med
. 2021 May;
134:104448.
PMID: 33979731
MicroRNAs (miRNAs) are small non-coding RNAs that have a key role in the regulation of gene expression. The importance of miRNAs is widely acknowledged by the community nowadays and computational...
4.
Bugnon L, Yones C, Raad J, Gerard M, Rubiolo M, Merino G, et al.
Bioinformatics
. 2020 Feb;
36(11):3499-3506.
PMID: 32091584
Motivation: In precision medicine, next-generation sequencing and novel preclinical reports have led to an increasingly large amount of results, published in the scientific literature. However, identifying novel treatments or predicting...
5.
Bugnon L, Yones C, Raad J, Milone D, Stegmayer G
Data Brief
. 2019 Aug;
25:104209.
PMID: 31453279
This article makes available several genome-wide datasets, which can be used for training microRNA (miRNA) classifiers. The hairpin sequences available are from the genomes of: and . Each dataset provides...
6.
Rubiolo M, Milone D, Stegmayer G
Bioinformatics
. 2017 Nov;
34(7):1253-1260.
PMID: 29182723
Motivation: The reconstruction of gene regulatory networks (GRNs) from genes profiles has a growing interest in bioinformatics for understanding the complex regulatory mechanisms in cellular systems. GRNs explicitly represent the...
7.
Yones C, Stegmayer G, Milone D
Bioinformatics
. 2017 Oct;
34(4):541-549.
PMID: 29028911
Motivation: Although many machine learning techniques have been proposed for distinguishing miRNA hairpins from other stem-loop sequences, most of the current methods use supervised learning, which requires a very good...
8.
Kamenetzky L, Stegmayer G, Maldonado L, Macchiaroli N, Yones C, Milone D
Genomics
. 2016 Apr;
107(6):274-80.
PMID: 27107656
No abstract available.