Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cristian González-Prieto"'
Autor:
Gustavo Andrès Romero, Cristian González-Prieto, María Angélica Díaz Barriosnuevos, Nataly Alejandra Rueda Menjura
Publikováno v:
Tecnura, Vol 27, Iss 75, Pp 14-37 (2023)
Contexto: Se propone un conjunto de opciones que ayudan a determinar el método más adecuado para subsanar en bases de datos de tamaño apreciable, condiciones iniciales de datos faltantes y que serán utilizadas en procesos de investigación. Me
Externí odkaz:
https://doaj.org/article/c7d2ae1d2e2c434ea03d960b223cf25f
Autor:
Pablo Moreno-Acosta, Oscar Gamboa, Cristian González-Prieto, Alfredo Romero-Rojas, Josep Balart Serra, German Dario Díaz, Gina Malaver, Wafa Bouleftour, Nicolas Magné
Publikováno v:
Radiation Research. 199
Autor:
Beatriz Andrea Otálora-Otálora, Cristian González Prieto, Lucia Guerrero, Camila Bernal-Forigua, Martin Montecino, Alejandra Cañas, Liliana López-Kleine, Adriana Rojas
Publikováno v:
Biomedicines; Volume 10; Issue 12; Pages: 3122
The use of a new bioinformatics pipeline allowed the identification of deregulated transcription factors (TFs) coexpressed in lung cancer that could become biomarkers of tumor establishment and progression. A gene regulatory network (GRN) of lung can
Autor:
July Castro, Sophie Espenel, Jinneth Acosta, Juan Carlos Mejía, Lina Buitrago, Suzanne M. Garland, Alfredo Romero-Rojas, Monica Molano, Diana Mayorga, Oscar Gamboa, Nicolás Morales, Nicolas Magné, Alexis Vallard, Cristian González-Prieto, Gerald L. Murray, Pablo Moreno-Acosta
Publikováno v:
Cancer Genomics Proteomics
Background Few studies have analyzed the association between human telomerase reverse transcriptase (hTERT) protein expression (nuclear and cytoplasmic localization), hTERT methylation status, and human papillomavirus (HPV) genotype infection in cerv
Publikováno v:
JOURNAL OF ADVANCES IN BIOTECHNOLOGY. 8:1078-1085
Interactions between genes, such as regulations are best represented by gene regulatory networks (GRN). These are often constructed based on gene expression data. Few methods for the construction of GRN exist for RNA sequencing count data. One of the
Publikováno v:
Open Journal of Statistics. :628-636
The analysis of messenger Ribonucleic acid obtained through sequencing techniques (RNA-se- quencing) data is very challenging. Once technical difficulties have been sorted, an important choice has to be made during pre-processing: Two different paths