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Myriam Ferro

dblp:192/8176 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-4222-6847ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › computational microbiology › microbiome analysis
differential abundance testing		 0.312017
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics · Bioinform. 2017
Bioinformatics and computational biology
proteomics		 0.312017
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics · Bioinform. 2017
Bioinformatics and computational biology › proteomics
quantitative proteomics		 0.312017
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics · Bioinform. 2017

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

peptide intensity aggregation · 0.3null hypothesis significance testing · 0.3normalization · 0.3imputation · 0.3false discovery rate · 0.3
YearPublicationVenuePosition
2017 DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
abstract
DAPAR and ProStaR are software tools to perform the statistical analysis of label-free XIC-based quantitative discovery proteomics experiments. DAPAR contains procedures to filter, normalize, impute missing value, aggregate peptide intensities, perform null hypothesis significance tests and select the most likely differentially abundant proteins with a corresponding false discovery rate. ProStaR is a graphical user interface that allows friendly access to the DAPAR functionalities through a web browser. AVAILABILITY AND IMPLEMENTATION: DAPAR and ProStaR are implemented in the R language and are available on the website of the Bioconductor project (http://www.bioconductor.org/). A complete tutorial and a toy dataset are accompanying the packages. CONTACT: [email protected], [email protected], [email protected].
Samuel Wieczorek, Florence Combes, Cosmin Lazar, Quentin Giai Gianetto, Laurent Gatto, Alexia Dorffer, Anne-Marie Hesse, Yohann Couté, Myriam Ferro, Christophe Bruley, Thomas Burger
 Bioinform.9