Immunogenomic identification and characterization of granulocytic myeloid-derived suppressor cells in multiple myeloma

Autor: Perez C., Botta C., Zabaleta A., Puig N., Cedena M. -T., Goicoechea I., Alameda D., Jose-Eneriz E. S., Merino J., Rodriguez-Otero P., Maia C., Alignani D., Maiso P., Manrique I., Lara-Astiaso D., Vilas-Zornoza A., Sarvide S., Riillo C., Rossi M., Rosinol L., Oriol A., Blanchard M. -J., Rios R., Sureda A., Martin J., Martinez R., Bargay J., de la Rubia J., Hernandez M. -T., Martinez-Lopez J., Orfao A., Agirre X., Prosper F., Mateos M. -V., Lahuerta J. -J., Blade J., San-Miguel J. F., Paiva B., Espinosa M. C., Zamudio J. L. G., Herranz E. R., Tamayo R. R., Sanchez J. M., Bernal L. P., Rodriguez A. P. G., Garcia M. E. G., Mayol A. S., Lleonart J. B., Suarez A., Garcia M. T. H., Gaisan C. M., Ruiz B. H., Montero F. C., de Miguel Llorente D., Ramos F. S., Garcia A. I., Manteca M. M., Martin J. M. H., Barrigon F. E., Frade J. G., de Coca A. G., Franco C. A., Gomez J. L., Perez E. C., Creixenti J. B., Balari A. M. S., Montes Y. G., Teigell L. E., Guinon A. G., Monreal E. A., Campos J. A. S., Tutusaus J. M. M., Rocafiguera A. O., Gorrochategui M. G., Mesa M. G., Silva C. C., Perez M. S. G., Loureiro A. D., Sanchez J. A. M., Irazu M. J. N., Parraga F. J. P., Palacios J. J. L., Barahona P. B., Rodriguez C. E., Rivas J. A. H., de Oteyza J. P., del Barrio R. I., de la Guia A. L., Amor A. A., Pareja E. P., Castello I. K., Rodriguez M. J. B., Martinez R. M., Grau R. R., Mesa E. G., Sainz E. R., de Arriba F., Jimenez J. M. M., Romera M., Cardoso F. P., Perez J. M. A., Pomposo M. P., Persona E. P., Casasus A. I. T., Garcia P. R., Ramos I. J., Lor M. B. V., Garcia P. L. F., Chamorro C. M.

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Blood
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol

Granulocytic myeloid-derived suppressor cells (G-MDSCs) promote tumor growth and immunosuppression in multiple myeloma (MM). However, their phenotype is not well established for accurate monitoring or clinical translation. We aimed to provide the phe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e57c4b837fce8eddbe3294a53b97e516
https://doi.org/10.1182/blood.2019004537

Unmasking Bias in News

Autor: S��nchez-Junquera, Javier, Rosso, Paolo, Montes-y-G��mez, Manuel, Ponzetto, Simone Paolo

We present experiments on detecting hyperpartisanship in news using a 'masking' method that allows us to assess the role of style vs. content for the task at hand. Our results corroborate previous research on this task in that topic related features

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f653b415898a2aad9b5ff848b23bb63e
http://arxiv.org/abs/1906.04836

Early text classification: a Naive solution

Autor: Escalante, Hugo Jair, Montes-y-G��mez, Manuel, Villase��or-Pineda, Luis, Errecalde, Marcelo Luis

Text classification is a widely studied problem, and it can be considered solved for some domains and under certain circumstances. There are scenarios, however, that have received little or no attention at all, despite its relevance and applicability

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7fcc2ae3f6995a165c10960ffa822f4
http://arxiv.org/abs/1509.06053

Comparación de algoritmos de aprendizaje para identificación del usuario a través de la voz.

Autor: Villatoro, Esaú, Villaseñor-Pineda, Luis, Montes-y-Gómez, Manuel

Publikováno v: ACM International Conference Proceeding Series; Oct2005, p349-349, 1p