HBIC: A Biclustering Algorithm for Heterogeneous Datasets

Autor: José-García, Adán, Jacques, Julie, Chauvet, Clément, Sobanski, Vincent, Dhaenens, Clarisse

Biclustering is an unsupervised machine-learning approach aiming to cluster rows and columns simultaneously in a data matrix. Several biclustering algorithms have been proposed for handling numeric datasets. However, real-world data mining problems o

Externí odkaz: http://arxiv.org/abs/2408.13217

Biclustering Algorithms Based on Metaheuristics: A Review

Autor: Jose-Garcia, Adan, Jacques, Julie, Sobanski, Vincent, Dhaenens, Clarisse

Biclustering is an unsupervised machine learning technique that simultaneously clusters rows and columns in a data matrix. Biclustering has emerged as an important approach and plays an essential role in various applications such as bioinformatics, t

Externí odkaz: http://arxiv.org/abs/2203.16241

Intravenous immunoglobulins improve skin fibrosis in experimental models of systemic sclerosis

Autor: Silvia Speca, Meryem-Maud Farhat, Manel Jendoubi, Thomas Guerrier, Sébastien Sanges, Delphine Staumont-Sallé, Eric Hachulla, Sylvain Dubucquoi, Vincent Sobanski, Aurore Collet, David Launay

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)

Abstract Systemic sclerosis (SSc) is the most severe systemic autoimmune disease with currently no cure. Intravenous immunoglobulins (IVIg) are an attractive candidate in this disease to counteract inflammation and fibrosis but data are scarce and co

Externí odkaz: https://doaj.org/article/26bc6c93bb604d8bb9a8d0f0c47d0c62

Factors associated with satisfaction with social roles and activities among people with systemic sclerosis: a Scleroderma Patient-centered Intervention Network (SPIN) cohort cross-sectional study

Autor: Arsène Mekinian, Thierry Martin, Eric Hachulla, Carter Thorne, Danielle Rice, Andrea Benedetti, Brooke Levis, Virginia Steen, Paul R Fortin, Vincent Poindron, Aurélien Guffroy, David Launay, Luc Mouthon, Mandana Nikpour, John Varga, Benjamin Chaigne, Sindhu R Johnson, Sébastien Rivière, Michael Hughes, Daphna Harel, Marie-Eve Carrier, Karen Nielsen, Susan J Bartlett, Karen Gottesman, Ghassan El-Baalbaki, Kim Fligelstone, Catherine Fortune, Tracy Frech, Marie Hudson, Maggie Larche, Catarina Leite, Janet Pope, Anne A Schouffoer, Maria E Suarez-Almazor, Christian Agard, Marc André, Sabine Berthier, Lyne Bissonnette, Alessandra Bruns, Patricia Carreira, Marion Casadevall, Lorinda Chung, Christopher Denton, Robyn Domsic, James V Dunne, Bertrand Dunogue, Regina Fare, Dominique Farge-bancel, Jessica Gordon, Brigitte Granel-Rey, Genevieve Gyger, Monique Hinchcliff, Alena Ikic, Niall Jones, Suzanne Kafaja, Nader Khalidi, Marc Lambert, Hélène Maillard, Joanne Manning, Ariel Masetto, François Maurier, Susanna Proudman, Alexis Régent, David Robinson, Sophie Roux, Perrine Smets, Vincent Sobanski, Robert Spiera, Evelyn Sutton, Pearce Wilcox, Laurent Alric, Grégory Pugnet, François Rannou, Amy Gietzen, Christelle Nguyen, Michelle Richard, Nancy Maltez, Isabelle Marie, Mara Cañedo Ayala, Geneviève Guillot, Elana J Bernstein, Brett Thombs, Paul Legendre, Thylbert Deltombe, Sabrina Hoa, Laura K Hummers, Sophie Blaise, Yvonne C Lee, Louis Olagne, Marie-Claude Geoffroy, Richard S Henry, Robyn Wojeck, Maureen Mayes, Tiffany Dal Santo, Kimberly Lakin, Gabrielle Virgili-Gervais, Vanessa Malcarne, Claire E Adams, Rodriguez-Reyna Tatiana Sofia, Floryan Beaslay, Eva Bories, Carlotta Cacciatore, Benjamin Crichi, Tannvir Desroche, Loraine Gauzère, Anne Gerber, Maria Martin Lopez, Sheila Melchor Díaz, Morgane Mourguet, Loïc Raffray, Frederic Renou, Esther Rodríguez Almazar, Damien Vagner, Vanessa Cook, Sophie Hu, Elsa-Lynn Nassar, Marieke Alexandra Neyer, Sabrina Provencher

Publikováno v: RMD Open, Vol 10, Iss 1 (2024)

Objective The objectives were to (1) compare satisfaction with social roles and activities in a large multinational systemic sclerosis (SSc) cohort to general population normative data and (2) identify sociodemographic, lifestyle and SSc disease fact

Externí odkaz: https://doaj.org/article/013d8f853a3b4acc8eb9cc91a6f17411

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