Miriam Riquelme-Pérez (Miriam Riquelme-Perez, Carole Escartin)

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 6

Top Topics

Machine Learning

Transcription Factor

Gene Expression

Top Venues

Brain : a journal of neurology

Sensors (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Miriam Riquelme-Pérez, Fernando Perez-Sanz, Jean-François Deleuze, Carole Escartin, Eric Bonnet, Solène Brohard
DEVEA: an interactive shiny application for Differential Expression analysis, data Visualization and Enrichment Analysis of transcriptomics data. F1000Research 11 (2022)
Laurene Abjean, Lucile Ben Haim, Miriam Riquelme-Perez, Pauline Gipchtein, Céline Derbois, Marie-Ange Palomares, Fanny Petit, Anne-Sophie Hérard, Marie-Claude Gaillard, Martine Guillermier, Mylène Gaudin-Guérif, Gwennaëlle Aurégan, Nisrine Sagar, Cameron Héry, Noëlle Dufour, Noémie Robil, Mehdi Kabani, Ronald Melki, Pierre De la Grange, Alexis P Bemelmans, Gilles Bonvento, Jean-François Deleuze, Philippe Hantraye, Julien Flament, Eric Bonnet, Solène Brohard, Robert Olaso, Emmanuel Brouillet, Maria-Angeles Carrillo-de Sauvage, Miriam Riquelme-Pérez
Reactive astrocytes promote proteostasis in Huntington's disease through the JAK2-STAT3 pathway. Brain : a journal of neurology (2022)
Miriam Riquelme-Pérez, Fernando Perez-Sanz, Jean-François Deleuze, Carole Escartin, Eric Bonnet, Solène Brohard
DEVEA: an interactive shiny application for Differential Expression analysis, data Visualization and Enrichment Analysis of transcriptomics data. F1000Research 11 (2022)
Miriam Riquelme-Pérez, Fernando Perez-Sanz, Jean-François Deleuze, Carole Escartin, Eric Bonnet, Solène Brohard
DEVEA: an interactive shiny application for Differential Expression analysis, data Visualization and Enrichment Analysis of transcriptomics data. F1000Research 11 (2022)
Miriam Riquelme-Pérez, Fernando Perez-Sanz, Jean-François Deleuze, Carole Escartin, Eric Bonnet, Solène Brohard
DEVEA: an interactive shiny application for Differential Expression analysis, data Visualization and Enrichment Analysis of transcriptomics data. F1000Research 11 (2022)
Fernando Perez-Sanz, Miriam Riquelme-Pérez, Enrique Martínez-Barba, Jesús de la Peña-Moral, Alejandro Salazar Nicolás, Marina Carpes-Ruiz, Ángel Esteban-Gil, María Del Carmen Legaz-García, María Antonia Parreño-González, Pablo Ramírez, Carlos Manuel Martínez
Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver Transplantation. Sensors (Basel, Switzerland) 21 (6) (2021)