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Jose Arturo Molina-Mora
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2020 – today
- 2021
- [j3]Jose Arturo Molina-Mora
, Pablo Montero-Manso, Raquel García-Batán, Rebeca Campos-Sánchez
, Jose Vilar-Fernández
, Fernando García:
A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach. Biosyst. 205: 104411 (2021) - [j2]Jose Arturo Molina-Mora
, Mariela Solano-Vargas
:
Set-theory based benchmarking of three different variant callers for targeted sequencing. BMC Bioinform. 22(1): 20 (2021)
2010 – 2019
- 2018
- [j1]Jose Arturo Molina-Mora
, M. Kop-Montero, I. Quirós-Fernández, Steve Quirós
, Juan Luis Crespo-Mariño, Rodrigo Antonio Mora-Rodríguez:
A hybrid mathematical modeling approach of the metabolic fate of a fluorescent sphingolipid analogue to predict cancer chemosensitivity. Comput. Biol. Medicine 97: 8-20 (2018) - [c3]Jose Arturo Molina-Mora
, Rebeca Campos-Sánchez
, Fernando García:
Gene Expression Dynamics Induced by Ciprofloxacin and Loss of Lexa Function in Pseudomonas Aeruginosa PAO1 Using Data Mining and Network Analysis. IWOBI 2018: 1-7 - [c2]I. Quirós-Fernández, Jose Arturo Molina-Mora
, M. Kop-Montero, E. Salas-Hidalgo, Rodrigo Antonio Mora-Rodríguez:
Predicting Cancer Chemosensitivity Based on Intensity/Distribution Profiles of Cells Loaded with a Fluorescent Sphingolipid Analogue. IWOBI 2018: 1-8 - 2017
- [c1]Jose Arturo Molina-Mora
, M. Kop-Montero, Juan Luis Crespo-Mariño
, Steve Quirós
, Rodrigo Antonio Mora-Rodríguez:
Hybrid mathematical modeling decodes the complexity of sphingolipid pathway to predict chemosensitivity. IWOBI 2017: 1-6
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