Mariana Recamonde-Mendoza

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Ana BazzanUFRGSVerified email at inf.ufrgs.br
Daisy CrispimEndocrinologia/ Hospital de Clinicas de Porto Alegre/ Universidade Federal do Rio Grande do SulVerified email at hcpa.edu.br
Fernanda Sales Luiz ViannaUniversidade Federal do Rio Grande do SulVerified email at hcpa.edu.br
Andreia BioloProfessor de Medicina, Universidade Federal do Rio Grande do SulVerified email at hcpa.edu.br
Gustavo MachadoAssociate Professor at NC State, College of Veterinary Medicine North CarolinaVerified email at ncsu.edu
Michael AndradesPesquisador, Hospital de Clínicas de Porto AlegreVerified email at hcpa.edu.br
Patricia Ashton-ProllaUniversidade Federal do Rio Grande do Sul, Hospital de Clinicas de Porto AlegreVerified email at hcpa.edu.br
Manolis KellisProfessor of Computer Science, MIT and Broad InstituteVerified email at mit.edu
Gerald QuonAssociate Professor, University of California, DavisVerified email at ucdavis.edu
Soheil FeiziUniversity of Maryland, College ParkVerified email at cs.umd.edu
LAVINIA SCHULER FACCINI; LAVINI...Universidade Federal do Rio Grande do SulVerified email at ufrgs.br
Ronnie AlvesInstituto Tecnológico Vale (ITV)Verified email at itv.org
Rogerio MargisResearcher at CBiot (Centro de Biotecnologia) - Full Professor - UFRGSVerified email at ufrgs.br
Vanessa Rodrigues Paixão-CôrtesUniversidade Federal da Bahia - PPGBioEvoVerified email at ufba.br
Alessandro OsvaldtHospital de Clinicas de Porto Alegre/Universidade Federal do Rio Grande do SulVerified email at hcpa.ufrgs.br
Luis Gustavo CorbelliniUniversidade Federal do Rio Grande do SulVerified email at ufrgs.br
Luciana Tovo-RodriguesProfessora do Programa de Pós Graduação em Epidemiologia, Universidade Federal de PelotasVerified email at ufpel.edu.br
Luis Augusto RohdeHospital de Clínicas de Porto Alegre - HCPA; Professor de Psiquiatria da Universidade Federal do RioVerified email at hcpa.edu.br
Mara H. HutzDEPARTAMENTO DE GENETICA, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SULVerified email at ufrgs.br
Adriano WerhliLecturer of Computer Science, Universidade Federal do Rio Grande - FURGVerified email at furg.br

Mariana Recamonde-Mendoza

Universidade Federal do Rio Grande do Sul/Hospital de Clínicas de Porto Alegre

Verified email at inf.ufrgs.br - Homepage

Machine Learning Data Science Bioinformatics Computational Biology


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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	160	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	98	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	94	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), 457, 2019	72	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	59	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	54	2019
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	51	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	51	2013
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	40	2019
Spectral alignment of networks S Feizi, G Quon, M Medard, M Kellis, A Jadbabaie	40	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	39	2021
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	29	2015
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	26	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	25	2019
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	20	2021
Machine learning methods for prediction of cancer driver genes: a survey paper R Andrades, M Recamonde-Mendoza Briefings in Bioinformatics 23 (3), bbac062, 2022	17	2022
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	16	2022
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	16	2020
Social choice in distributed classification tasks: Dealing with vertically partitioned data M Recamonde-Mendoza, ALC Bazzan Information Sciences 332, 56-71, 2016	16	2016
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	16	2011

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