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Alexandra Moreira

dblp:139/3138 · DBLP profile ↗
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7ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4 · 1 since 2021Artificial intelligence and machine learning · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
alternative polyadenylation analysis
0.812024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024
Bioinformatics and computational biology › gene expression analysis
differential expression analysis
0.812024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.812024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene ontology analysis
0.212024
APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data · Bioinform. 2024

Methods — techniques the papers use, named apart from their topics

differential expression analysis · 0.8correlation analysis · 0.8
YearPublicationVenuePosition
2024 APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data
abstract
SUMMARY: APAtizer is a tool designed to analyze alternative polyadenylation events on RNA-sequencing data. The tool handles different file formats, including BAM, htseq, and DaPars bedGraph files. It provides a user-friendly interface that allows users to generate informative visualizations, including Volcano plots, heatmaps, and gene lists. These outputs allow the user to retrieve useful biological insights such as the occurrence of polyadenylation events when comparing two biological conditions. In addition, it can perform differential gene expression, gene ontology analysis, visualization of Venn diagram intersections, and correlation analysis. AVAILABILITY AND IMPLEMENTATION: Source code and example case studies for APAtizer are available at https://github.com/GeneRegulationi3S/APAtizer/.
Bruno Sousa, Maria Bessa, Filipa L. de Mendonça, Pedro G. Ferreira, Alexandra Moreira, Isabel Pereira-Castro
Bioinform.5
2019 Development of a Song Lyric Corpus for the English Language
Matheus Augusto Gonzaga Rodrigues, Alcione de Paiva Oliveira, Alexandra Moreira
NLDB3
2018 A Deep Learning Approach for Sentiment Analysis Applied to Hotel's Reviews
Joana Gabriela Ribeiro de Souza, Alcione de Paiva Oliveira, Guidson Coelho Andrade, Alexandra Moreira
NLDB4
2017 An Approach for Semantically Enriching Volunteered Geographic Data with Linked Data
Liliane Soares da Costa, Italo Lopes Oliveira, Alexandra Moreira, Jugurta Lisboa Filho
ICCSA (3)3
2017 Sentiment Analysis Applied to Hotels Evaluation
Gustavo Soares Martins, Alcione de Paiva Oliveira, Alexandra Moreira
ICCSA (6)3
2016 Automatic Creation of Ontology Using a Lexical Database: An Application for the Energy Sector
Alexandra Moreira, Jugurta Lisboa Filho, Alcione de Paiva Oliveira
NLDB1
2014 Monitoring the Professional Evolution of Graduates with Multiagent Systems
Diego Fialho Rodrigues, Alcione de Paiva Oliveira, Jugurta Lisboa Filho, Alexandra Moreira
ICCSA (3)4