Adriano Werhli
Adriano Werhli
Lecturer of Computer Science, Universidade Federal do Rio Grande - FURG
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Cited by
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks
AV Werhli, M Grzegorczyk, D Husmeier
Bioinformatics 22 (20), 2523-2531, 2006
Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge
AV Werhli, D Husmeier
Statistical applications in genetics and molecular biology 6 (1), 2007
Gene regulatory network reconstruction by Bayesian integration of prior knowledge and/or different experimental conditions
AV Werhli, D Husmeier
Journal of bioinformatics and computational biology 6 (03), 543-572, 2008
An adaptive machine learning approach to improve automatic iceberg detection from SAR images
MM Barbat, C Wesche, AV Werhli, MM Mata
ISPRS Journal of Photogrammetry and Remote Sensing 156, 247-259, 2019
Bayesian integration of biological prior knowledge into the reconstruction of gene regulatory networks with Bayesian networks
D Husmeier, AV Werhli
Computational Systems Bioinformatics: (Volume 6), 85-95, 2007
Characterization of glucose-tolerant β-glucosidases used in biofuel production under the bioinformatics perspective: A systematic review
DCB Mariano, C Leite, LHS Santos, LF Marins, KS Machado, AV Werhli, ...
Genet Mol Res 16 (3), 10.4238, 2017
Reverse engineering gene regulatory networks with various machine learning methods
M Grzegorczyk, D Husmeier, A Werhli
Analysis of Microarray Data. Weinheim: Wiley-VCH, 101-142, 2008
Decrypting strong and weak single-walled carbon nanotubes interactions with mitochondrial voltage-dependent anion channels using molecular docking and perturbation theory
M González-Durruthy, AV Werhli, V Seus, KS Machado, A Pazos, ...
Scientific Reports 7 (1), 13271, 2017
Continuum crowds with local control
M Paravisi, A Werhli, JJ Junior, R Rodrigues, CR Jung, SR Musse
Computer Graphics International, 108-115, 2008
Inference of regulatory networks with a convergence improved MCMC sampler
NB Agostinho, KS Machado, AV Werhli
BMC bioinformatics 16, 1-10, 2015
Predicting the binding properties of single walled carbon nanotubes (SWCNT) with an ADP/ATP mitochondrial carrier using molecular docking, chemoinformatics, and nano-QSBR …
M González-Durruthy, AV Werhli, L Cornetet, KS Machado, ...
Rsc Advances 6 (63), 58680-58693, 2016
Reconstruction of gene regulatory networks from postgenomic data
AV Werhli
The University of Edinburgh, 2007
Silencing the OCT4-PG1 pseudogene reduces OCT-4 protein levels and changes characteristics of the multidrug resistance phenotype in chronic myeloid leukemia
AP Lettnin, EF Wagner, M Carrett-Dias, K dos Santos Machado, A Werhli, ...
Molecular biology reports 46, 1873-1884, 2019
Molecular modelling and competitive inhibition of a Mycobacterium tuberculosis multidrug-resistance efflux pump
JLR Scaini, AD Camargo, VR Seus, A von Groll, AV Werhli, PEA da Silva, ...
Journal of Molecular Graphics and Modelling 87, 98-108, 2019
Vision based measurement applied to industrial instrumentation
ESF dos Santos, WB Xavier, RN Rodrigues, SSC Botelho, AV Werhli
IFAC-PapersOnLine 50 (1), 788-793, 2017
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
A computational method to propose mutations in enzymes based on structural signature variation (SSV)
DCB Mariano, LH Santos, KS Machado, AV Werhli, LHF de Lima, ...
International Journal of Molecular Sciences 20 (2), 333, 2019
Cytoprotection of lipoic acid against toxicity induced by saxitoxin in hippocampal cell line HT-22 through in silico modeling and in vitro assays
P Ramos, M Schmitz, S Gama, A Portantiolo, MG Durruthy, ...
Toxicology 393, 171-184, 2018
Multi-Agent-Based Simulation of Mycobacterium Tuberculosis Growth
P Werlang, MQ Fagundes, DF Adamatti, KS Machado, A von Groll, ...
Multi-Agent-Based Simulation XIV: International Workshop, MABS 2013, Saint …, 2014
A higher flexibility at the SARS-CoV-2 main protease active site compared to SARS-CoV and its potentialities for new inhibitor virtual screening targeting multi-conformers
REO Rocha, EJF Chaves, PHC Fischer, LSC Costa, IB Grillo, ...
Journal of Biomolecular Structure and Dynamics 40 (19), 9214-9234, 2022
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