| 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 | 418 | 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 | 337 | 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 | 74 | 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 | 38 | 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 | 36 | 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 | 29 | 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 | 28 | 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 | 25 | 2017 |
| Continuum crowds with local control M Paravisi, A Werhli, JJ Junior, R Rodrigues, CR Jung, SR Musse Computer Graphics International, 108-115, 2008 | 19 | 2008 |
| Inference of regulatory networks with a convergence improved MCMC sampler NB Agostinho, KS Machado, AV Werhli BMC bioinformatics 16, 1-10, 2015 | 16 | 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 | 14 | 2016 |
| Reconstruction of gene regulatory networks from postgenomic data AV Werhli The University of Edinburgh, 2007 | 13 | 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 | 12 | 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 | 12 | 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 | 12 | 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 | 11 | 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 | 9 | 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 | 9 | 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 | 9 | 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 | 8 | 2022 |
Karina S. MachadoLecturer at Federal University of Rio GrandeVerified email at furg.br
