Ara es mostren els items 1-17 de 17

    • A generalized Robinson-Foulds distance for clonal trees, mutation trees, and phylogenetic trees and networks 

      Llabrés Segura, Mercè; Rosselló Llompart, Francesc A.; Valiente Feruglio, Gabriel Alejandro (Association for Computing Machinery (ACM), 2020)
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      Cancer evolution is often modeled by clonal trees (whose nodes are labeled by multiple somatic mutations) or mutation trees (where nodes are labeled by single somatic mutations). Clonal trees are generated from sequence ...
    • A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma 

      Gureghian, Vincent; Herbst, Hailee; Kozar, Ines; Mihajlovic, Katarina; Malod-Dognin, Noël; Ceddia, Gaia; Angeli, Cristian; Margue, Christiane; Randic, Tijana; Philippidou, Demetra (2023-07-07)
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      Therapy Induced Senescence (TIS) leads to sustained growth arrest of cancer cells. The associated cytostasis has been shown to be reversible and cells escaping senescence further enhance the aggressiveness of cancers. ...
    • A novel culture method that sustains ERa signaling in human breast cancer tissue microstructures 

      Gualda Manzano, Emilio José; Furtado de Oliveira e Silva, Fernanda; Loza Álvarez, Pablo; Cartaxo, Ana Luisa; Estrada, Marta F.; Domenici, Giacomo; Sflomos, George; Brisken, Cathrin; Brito, Catarian (2020-12)
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      Breast cancer (BC) is the most commonly diagnosedcancer among women worldwide [1]. It is a heteroge-neous disease with distinct biological features and clin-ical outcomes. Almost 75% of diagnosed BC expressestrogen ...
    • Common variants in NLRP2 and NLRP3 genes are strong prognostic factors for the outcome of HLA-identical sibling allogeneic stem cell transplantation 

      Gaya, Anna; Granell, Miquel; Urbano-Ispiuza, Álvaro; Pons, Aina; Aróstigui, Juan Ignacio; Gel Moreno, Bernat; Navarro, Alfons; Jansana, Sonia; Artells, Rosa; Monzó, Mariano; Montserrat, Emili; Yagüe, Jordi; Juan, Manel; Rozman, Ciril; Carreras, Enric; Rovira, Montserrat; Martínez, Carmen; Fernández-Avilés, Francesc; Talarn, Carme (2008-09-04)
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      The inflammasomes are macromolecular cytosolic complexes involved in the production of interleukin-1beta (IL-1beta) and IL-18 in response to several pathogen-derived stimuli. Such interleukins have been implicated in the ...
    • Current state of cold atmospheric plasma and cancer-immunity cycle: therapeutic relevance and overcoming clinical limitations using hydrogels 

      Zivanic, Milica; Espona Noguera, Albert; Lin, Abraham; Canal Barnils, Cristina (John Wiley & sons, 2023-01-20)
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      Realitzat a/amb:   Universiteit Antwerpen
      Cold atmospheric plasma (CAP) is a partially ionized gas that gains attention as a well-tolerated cancer treatment that can enhance anti-tumor immune responses, which are important for durable therapeutic effects. This ...
    • Data mining in cancer research 

      Lisboa, Paulo J.G.; Vellido Alcacena, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, Michelle; Martín Guerrero, José D.; Biganzoli, Elia (2010-02)
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      This article is not intended as a comprehensive survey of data mining applications in cancer. Rather, it provides starting points for further, more targeted, literature searches, by embarking on a guided tour of computational ...
    • Feature selection for the prediction and visualization of brain tumor types using proton magnetic resonance spectroscopy data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2012)
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      In cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of basic tumor types provides better treatment and may minimize the negative impact of incorrectly targeted ...
    • Identification of human papillomavirus as a preventive strategy for cervical cancer in asymptomatic women in the Peruvian Andes 

      Silva Caso, Wilmer; Olivera Irazábal, Miluska; León Álvarez, Pedro; Valle Mendoza, Luis Javier del; Vargas, Martha; Ruiz, Joaquim; Bermudez García, Alejandro (2014)
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      Objective To detect the most prevalent human papillomavirus (HPV) genotypes in cervical smear samples of asymptomatic Peruvian women by analyzing the correlation between Papanicolaou (PAP)-stained cervical tests and ...
    • Investigating human cancer with computational intelligence techniques 

      Vellido Alcacena, Alfredo; Lisboa, Paulo J.G. (Future Technology Press, 2009-01-31)
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      Driven by the growing demand of personalization of medical procedures, data-based, computer-aided cancer research in human patients is advancing at an accelerating pace, providing a broadening landscape of opportunity ...
    • Iso-kTSP 

      Zawisza Alvarez, Michał (Universitat Politécnica de Catalunya, 2020-01)
      Treball Final de Grau
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      El splicing es uno de los procesos de maduración del ARNm durante la expresión génica en todos los eukaryotas, incluido el ser humano. El splicing alternativo es una variación de este proceso que permite, a partir de un ...
    • Machine learning in human cancer research 

      Vellido Alcacena, Alfredo; Lisboa, Paulo J.G. (Nova Science Publishers, 2007)
      Capítol de llibre
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      Evidence-based medicine has grown in stature over three decades and is now regarded a key development of modern medicine. The evidence base can be heterogeneous, involving both qualitative knowledge and measured quantitative ...
    • MAX mutant small-cell lung cancers exhibit impaired activities of MGA-dependent noncanonical polycomb repressive complex 

      Llabata, Paula; Torres Diz, Manuel; Gomez, Antonio; Tomas Daza, Laureano; Romero, Octavio A.; Valencia, Alfonso (National Academy of Sciences, 2021)
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      The MYC axis is disrupted in cancer, predominantly through activation of the MYC family oncogenes but also through inactivation of the MYC partner MAX or of the MAX partner MGA. MGA and MAX are also members of the polycomb ...
    • MicroRNA expression profiling in classic Hodgkin lymphoma 

      Monzo, Mariano; Montserrat, Emili; Artells, Rosa; López-Guillermo, Armando; Navarro, Alfons; Gaya, Anna; Martínez Velasco, Antonio Benito; Urbano-Ispiuza, Álvaro; Pons, Aina; Balagué, Olga; Gel Moreno, Bernat; Abrisqueta, Pau (2007-12-18)
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      MicroRNAs (miRNAs) are negative regulators of gene expression that play an important role in hematopoiesis and tumorigenesis. We analyzed miRNA expression in classic Hodgkin lymphoma (cHL) and the influence of ...
    • Parsimonious selection of useful genes in microarray gene expression data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2011)
      Capítol de llibre
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      Machine Learning methods have of late made significant efforts to solving multidisciplinary problems in the field of cancer classification in microarray gene expression data. These tasks are characterized by a large number ...
    • Random forest as a tumour genetic marker extractor 

      Pérez Arnal, Raquel Leandra; Garcia Gasulla, Dario; Torrents Rodas, David; Pares, Ferran; Cortés García, Claudio Ulises; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (IOS Press, 2019)
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      Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released dataset of chromosome rearrangements in 2,586 ...
    • The K-Robinson Foulds measures for labeled trees 

      Khayatian, Elahe; Valiente Feruglio, Gabriel Alejandro; Zhang, Louxin (Springer, 2023)
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      Investigating the mutational history of tumor cells is important for understanding the underlying mechanisms of cancer and its evolution. Now that the evolution of tumor cells is modeled using labeled trees, researchers ...
    • The k-Robinson–Foulds dissimilarity measures for comparison of labeled treesd 

      Khayatian, Elahe; Valiente Feruglio, Gabriel Alejandro; Zhang, Louxin (2024-01-25)
      Article
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      Understanding the mutational history of tumor cells is a critical endeavor in unraveling the mechanisms that drive the onset and progression of cancer. Modeling tumor cell evolution with labeled trees motivates researchers ...