Jose Arturo Molina-Mora

According to our database, Jose Arturo Molina-Mora authored at least 6 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Set-theory based benchmarking of three different variant callers for targeted sequencing.

Jose Arturo Molina-Mora, Mariela Solano-Vargas

BMC Bioinform., 2021

A first perturbome of <i>Pseudomonas aeruginosa</i>: Identification of core genes related to multiple perturbations by a machine learning approach.

Jose Arturo Molina-Mora, Pablo Montero-Manso, Raquel García-Batán, Rebeca Campos-Sánchez, Jose Vilar-Fernández, Fernando García

Biosyst., 2021

2018

A hybrid mathematical modeling approach of the metabolic fate of a fluorescent sphingolipid analogue to predict cancer chemosensitivity.

Jose Arturo Molina-Mora, M. Kop-Montero, I. Quirós-Fernández, Steve Quirós, Juan Luis Crespo-Mariño, Rodrigo Antonio Mora-Rodríguez

Comput. Biol. Medicine, 2018

Predicting Cancer Chemosensitivity Based on Intensity/Distribution Profiles of Cells Loaded with a Fluorescent Sphingolipid Analogue.

I. Quirós-Fernández, Jose Arturo Molina-Mora, M. Kop-Montero, E. Salas-Hidalgo, Rodrigo Antonio Mora-Rodríguez

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

Gene Expression Dynamics Induced by Ciprofloxacin and Loss of Lexa Function in Pseudomonas Aeruginosa PAO1 Using Data Mining and Network Analysis.

Jose Arturo Molina-Mora, Rebeca Campos-Sánchez, Fernando García

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2017

Hybrid mathematical modeling decodes the complexity of sphingolipid pathway to predict chemosensitivity.

Jose Arturo Molina-Mora, M. Kop-Montero, Juan Luis Crespo-Mariño, Steve Quirós, Rodrigo Antonio Mora-Rodríguez

Proceedings of the International Conference and Workshop on Bioinspired Intelligence, 2017