|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
|What variables are important in predicting bovine viral diarrhea virus? A random forest approach|
G Machado, MR Mendoza, LG Corbellini
Veterinary research 46 (1), 1-15, 2015
|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
|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
|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
|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
|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 (1), 55-65, 2019
|Circulating microRNAs in obese and lean heart failure patients: A case–control study with computational target prediction analysis|
JG Thomé, MR Mendoza, AV Cheuiche, VL La Porta, D Silvello, ...
Gene 574 (1), 1-10, 2015
|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
|Spectral alignment of networks|
S Feizi, G Quon, M Medard, M Kellis, A Jadbabaie
|Social choice in distributed classification tasks: Dealing with vertically partitioned data|
M Recamonde-Mendoza, ALC Bazzan
Information Sciences 332, 56-71, 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
|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
|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
|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
|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
|The role of protein intrinsic disorder in major psychiatric disorders|
L Tovo‐Rodrigues, M Recamonde‐Mendoza, VR Paixão‐Côrtes, ...
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 171 …, 2016
|TULP3: A potential biomarker in colorectal cancer?|
ITS Sartor, M Recamonde-Mendoza, P Ashton-Prolla
PloS one 14 (1), e0210762, 2019
|On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study|
MR Mendoza, ALC Bazzan
2012 Brazilian Symposium on Neural Networks, 55-60, 2012
|Meta-analysis of Transcriptomic Data Reveals Pathophysiological Modules Involved with Atrial Fibrillation|
RH Bueno, M Recamonde-Mendoza
Molecular Diagnosis & Therapy 24 (6), 737-751, 2020