Adriano Werhli
Adriano Werhli
Lecturer of Computer Science, Universidade Federal do Rio Grande - FURG
Email confirmado em furg.br
TítuloCitado porAno
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
3692006
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
2812007
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
642008
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
332007
Reverse engineering gene regulatory networks with various machine learning methods
M Grzegorczyk, D Husmeier, AV Werhli
Analysis of Microarray Data: A Network‐Based Approach, 101-142, 2008
262008
Continuum crowds with local control
M Paravisi, A Werhli, JJ Junior, R Rodrigues, CR Jung, SR Musse
Computer Graphics International, 108-115, 2008
162008
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
92017
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
92016
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
82017
Reconstruction of gene regulatory networks from postgenomic data
AV Werhli
The University of Edinburgh, 2007
82007
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
72013
Inference of regulatory networks with a convergence improved MCMC sampler
NB Agostinho, KS Machado, AV Werhli
BMC bioinformatics 16 (1), 306, 2015
62015
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
42017
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
42007
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
32016
Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methods
AV Werhli
BMC genomics 13 (5), S2, 2012
32012
Improved Gibbs sampling for detecting mosaic structures in DNA sequence alignments
AV Werhli, M Grzegorczyk, MT Chiang, D Husmeier
Cnetro Internacional de Matematica, Coimbra, Portugal, 23-24, 2006
32006
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
22017
Modelo de dobramento de proteína em jogo computacional
RM da Luz, DF Adamatti, AV Werhli
Revista Brasileira de Computação Aplicada 9 (1), 42-51, 2017
22017
Inference of genetic regulatory networks using an estimation of distribution algorithm
T Salvá, LR Emmendorfer, AV Werhli
Brazilian Symposium on Bioinformatics, 148-159, 2013
22013
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Artigos 1–20