Adriano Werhli
Adriano Werhli
Lecturer of Computer Science, Universidade Federal do Rio Grande - FURG
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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
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
Reverse engineering gene regulatory networks with various machine learning methods
M Grzegorczyk, D Husmeier, A Werhli
Wiley-VCH, 2008
Continuum crowds with local control
M Paravisi, A Werhli, JJ Junior, R Rodrigues, CR Jung, SR Musse
Computer Graphics International, 108-115, 2008
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, 1-19, 2017
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), 1-19, 2017
Automated seam tracking system based on passive monocular vision for automated linear robotic welding process
ÁA Weis, JL Mor, LB Soares, CR Steffens, PLJ Drews-Jr, MF de Faria, ...
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
Reconstruction of gene regulatory networks from postgenomic data
AV Werhli
The University of Edinburgh, 2007
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
Multi-agent-based simulation of mycobacterium tuberculosis growth
P Werlang, MQ Fagundes, DF Adamatti, KS Machado, A von Groll, ...
International Workshop on Multi-Agent Systems and Agent-Based Simulation …, 2013
Inference of regulatory networks with a convergence improved MCMC sampler
NB Agostinho, KS Machado, AV Werhli
BMC bioinformatics 16 (1), 306, 2015
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
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
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 (2), 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
A framework for virtual screening
VR Seus, L Silva Jr, J Gomes, PEA da Silva, AV Werhli, KS Machado
Proceedings of the 31st annual ACM symposium on applied computing, 31-36, 2016
Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methods
AV Werhli
BMC genomics 13 (S5), S2, 2012
Reverse engineering gene regulatory networks with Bayesian networks from expression data combined with multiple sources of biological prior knowledge
AV Werhli, D Husmeier
11th Annual International Conference on Research in Computational Molecular …, 2007
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