Mariana Recamonde-Mendoza
Geciteerd door
Geciteerd door
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
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Artikelen 1–20