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Mariana Recamonde-Mendoza
Mariana Recamonde-Mendoza
Universidade Federal do Rio Grande do Sul/Hospital de Clínicas de Porto Alegre
在 inf.ufrgs.br 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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), 773-790, 2017
1632017
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
1022018
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
972015
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), 457, 2019
742019
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
612018
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
542019
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
522019
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
522013
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
422021
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
402019
Spectral alignment of networks
S Feizi, G Quon, M Medard, M Kellis, A Jadbabaie
402015
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
292015
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
272019
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
262020
EPGAT: gene essentiality prediction with graph attention networks
J Schapke, A Tavares, M Recamonde-Mendoza
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2021
222021
A call for citizen science in pandemic preparedness and response: beyond data collection
YR Tan, A Agrawal, MP Matsoso, R Katz, SLM Davis, AS Winkler, A Huber, ...
BMJ Global Health 7 (6), e009389, 2022
212022
Machine learning methods for prediction of cancer driver genes: a survey paper
R Andrades, M Recamonde-Mendoza
Briefings in Bioinformatics 23 (3), bbac062, 2022
192022
Systems biology approach identifies key regulators and the interplay between miRNAs and transcription factors for pathological cardiac hypertrophy
M Recamonde-Mendoza, AV Werhli, A Biolo
Gene 698, 157-169, 2019
172019
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
172011
A comparative evaluation of aggregation methods for machine learning over vertically partitioned data
B Trevizan, J Chamby-Diaz, ALC Bazzan, M Recamonde-Mendoza
Expert systems with applications 152, 113406, 2020
162020
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