Mariana Recamonde-Mendoza
Mariana Recamonde-Mendoza
Universidade Federal do Rio Grande do Sul/Hospital de Clínicas de Porto Alegre
Verified email at - Homepage
Cited by
Cited by
MicroRNA expression profiles and type 1 diabetes mellitus: systematic review and bioinformatic analysis
TS Assmann, M Recamonde-Mendoza, BM De Souza, D Crispim
Endocrine connections 6 (8), 773, 2017
MicroRNAs and diabetic kidney disease: Systematic review and bioinformatic analysis
TS Assmann, M Recamonde-Mendoza, BM de Souza, AC Bauer, ...
Molecular and cellular endocrinology 477, 90-102, 2018
What variables are important in predicting bovine viral diarrhea virus? A random forest approach
G Machado, MR Mendoza, LG Corbellini
Veterinary research 46, 1-15, 2015
Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods
G Machado, C Vilalta, M Recamonde-Mendoza, C Corzo, M Torremorell, ...
Scientific reports 9 (1), 1-12, 2019
MicroRNA expression profile in plasma from type 1 diabetic patients: Case-control study and bioinformatic analysis
TS Assmann, M Recamonde-Mendoza, M Punales, B Tschiedel, ...
Diabetes research and clinical practice 141, 35-46, 2018
Circulating miRNAs in diabetic kidney disease: case–control study and in silico analyses
TS Assmann, M Recamonde-Mendoza, AR Costa, M Puñales, ...
Acta diabetologica 56, 55-65, 2019
RFMirTarget: predicting human microRNA target genes with a random forest classifier
MR Mendoza, GC da Fonseca, G Loss-Morais, R Alves, R Margis, ...
PloS one 8 (7), e70153, 2013
Spectral alignment of graphs
S Feizi, G Quon, M Recamonde-Mendoza, M Medard, M Kellis, ...
IEEE Transactions on Network Science and Engineering 7 (3), 1182-1197, 2019
Spectral alignment of networks
S Feizi, G Quon, M Medard, M Kellis, A Jadbabaie
How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure
NM Fountain‐Jones, G Machado, S Carver, C Packer, ...
Journal of Animal Ecology 88 (10), 1447-1461, 2019
Circulating microRNAs in obese and lean heart failure patients: A case–control study with computational target prediction analysis
JG Thome, MR Mendoza, AV Cheuiche, VL La Porta, D Silvello, ...
Gene 574 (1), 1-10, 2015
Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks
MS Fernandes, W Cordeiro, M Recamonde-Mendoza
Computers in Biology and Medicine 129, 104152, 2021
Urinary peptidomics and bioinformatics for the detection of diabetic kidney disease
LA Brondani, AA Soares, M Recamonde-Mendoza, A Dall’Agnol, ...
Scientific reports 10 (1), 1242, 2020
Synergistic effects between ADORA2A and DRD2 genes on anxiety disorders in children with ADHD
TT Fraporti, V Contini, L Tovo-Rodrigues, M Recamonde-Mendoza, ...
Progress in Neuro-Psychopharmacology and Biological Psychiatry 93, 214-220, 2019
Social choice in distributed classification tasks: Dealing with vertically partitioned data
M Recamonde-Mendoza, ALC Bazzan
Information Sciences 332, 56-71, 2016
Reverse engineering of grns: An evolutionary approach based on the tsallis entropy
MR Mendoza, FM Lopes, ALC Bazzan
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction
MR Mendoza, ALC Bazzan
Proceedings of the 13th annual Conference on Genetic and Evolutionary …, 2011
Spectral alignment of graphs
S Feizi, G Quon, M Recamonde-Mendoza, M Medard, M Kellis, ...
arXiv preprint arXiv:1602.04181, 2016
Calcium signaling alterations caused by epigenetic mechanisms in pancreatic cancer: from early markers to prognostic impact
C Gregório, SC Soares-Lima, B Alemar, M Recamonde-Mendoza, ...
Cancers 12 (7), 1735, 2020
TULP3: A potential biomarker in colorectal cancer?
ITS Sartor, M Recamonde-Mendoza, P Ashton-Prolla
PLoS One 14 (1), e0210762, 2019
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