Juan L. Mateo (ORCID:0000-0001-9902-6048)
Juan L. Mateo (ORCID:0000-0001-9902-6048)
Department of Computer Science, University of Oviedo
Verified email at - Homepage
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CCTop: an intuitive, flexible and reliable CRISPR/Cas9 target prediction tool
M Stemmer, T Thumberger, M del Sol Keyer, J Wittbrodt, JL Mateo
PloS one 10 (4), e0124633, 2015
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood
JA Gámez, JL Mateo, JM Puerta
Data Mining and Knowledge Discovery 22 (1), 106-148, 2011
Finding out general tendencies in speckle noise reduction in ultrasound images
JL Mateo, A Fernández-Caballero
Expert systems with applications 36 (4), 7786-7797, 2009
Epigenomic enhancer annotation reveals a key role for NFIX in neural stem cell quiescence
B Martynoga, JL Mateo, B Zhou, J Andersen, A Achimastou, N Urbán, ...
Genes & development 27 (16), 1769-1786, 2013
Refined sgRNA efficacy prediction improves large-and small-scale CRISPR–Cas9 applications
M Labuhn, FF Adams, M Ng, S Knoess, A Schambach, EM Charpentier, ...
Nucleic acids research 46 (3), 1375-1385, 2018
Characterization of the neural stem cell gene regulatory network identifies OLIG2 as a multifunctional regulator of self-renewal
JL Mateo, DLC van den Berg, M Haeussler, D Drechsel, ZB Gaber, ...
Genome research 25 (1), 41-56, 2015
Depletion of key meiotic genes and transcriptome-wide abiotic stress reprogramming mark early preparatory events ahead of apomeiotic transition
JN Shah, O Kirioukhova, P Pawar, M Tayyab, JL Mateo, AJ Johnston
Frontiers in plant science 7, 1539, 2016
TGFβ-facilitated optic fissure fusion and the role of bone morphogenetic protein antagonism
MD Knickmeyer, JL Mateo, P Eckert, E Roussa, B Rahhal, A Zuniga, ...
Open biology 8 (3), 170134, 2018
EDNA: Estimation of dependency networks algorithm
JA Gámez, JL Mateo, JM Puerta
International Work-Conference on the Interplay Between Natural and …, 2007
Loss of NFIX transcription factor biases postnatal neural stem/progenitor cells toward oligodendrogenesis
B Zhou, JM Osinski, JL Mateo, B Martynoga, FJ Sim, CE Campbell, ...
Stem cells and development 24 (18), 2114-2126, 2015
A fast hill-climbing algorithm for Bayesian networks structure learning
JA Gámez, JL Mateo, JM Puerta
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2007
Novel components of germline sex determination acting downstream of foxl3 in medaka
M Kikuchi, T Nishimura, D Saito, S Shigenobu, R Takada, ...
Developmental biology 445 (1), 80-89, 2019
Mining the esrom: A study of breeding value classification in manchego sheep by means of attribute selection and construction
MJ Flores, JA Gámez, JL Mateo
Computers and Electronics in Agriculture 60 (2), 167-177, 2008
iDamIDseq and iDEAR: an improved method and computational pipeline to profile chromatin-binding proteins
JA Gutierrez-Triana, JL Mateo, D Ibberson, S Ryu, J Wittbrodt
Development 143 (22), 4272-4278, 2016
LiO: an easy and flexible library of metaheuristics
JL Mateo, L de la Ossa
Technical Report DIAB-06-04, 2007
One iteration CHC algorithm for learning Bayesian networks: an effective and efficient algorithm for high dimensional problems
JA Gámez, JL Mateo, JM Puerta
Progress in Artificial Intelligence 1 (4), 329-346, 2012
yap1b, a divergent Yap/Taz family member, cooperates with yap1 in survival and morphogenesis via common transcriptional targets
J Vázquez-Marín, JA Gutiérrez-Triana, M Almuedo-Castillo, L Buono, ...
Development 146 (13), dev173286, 2019
Avoiding premature convergence in estimation of distribution algorithms
JA Gamez, JL Mateo, JM Puerta
2009 IEEE Congress on Evolutionary Computation, 455-462, 2009
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions
JA Gámez, JL Mateo, JM Puerta
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
Dependency networks based classifiers: learning models by using independence test
JA Gámez, JL Mateo, JM Puerta
Third European Workshop on Probabilistica Graphical Models (PGM06), 115-122, 2006
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