Marcio L. Acencio
Affiliations: | Physics and Biophysics | São Paulo State University, Assis, São Paulo, Brazil |
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"Marcio Acencio"Bio:
Department of Physics and Biophysics, São Paulo State University, Distrito de Rubiao Jr. s/n, Botucatu, São Paulo, Brazil
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Publications
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| Bovolenta LA, Pinhal D, Acencio ML, et al. (2020) miRTil: An Extensive Repository for Nile Tilapia microRNA Next Generation Sequencing Data. Cells. 9 |
| Touré V, Vercruysse S, Acencio ML, et al. (2020) The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST). Bioinformatics (Oxford, England) |
| Holmås S, Puig RR, Acencio ML, et al. (2019) The Cytoscape BioGateway App: explorative network building from an RDF store Bioinformatics. 36: 1966-1967 |
| Silva EAAd, Acencio ML, Bovolenta LA, et al. (2019) Gene expression during the germination of coffee seed Journal of Seed Science. 41: 168-179 |
| de Carvalho M, Acencio ML, Laitz AV, et al. (2017) Impacts of the overexpression of a tomato translationally controlled tumor protein (TCTP) in tobacco revealed by phenotypic and transcriptomic analysis. Plant Cell Reports |
| Zhang X, Acencio ML, Lemke N. (2016) Corrigendum: Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review. Frontiers in Physiology. 7: 617 |
| Zhang X, Xiao W, Acencio ML, et al. (2016) An ensemble framework for identifying essential proteins. Bmc Bioinformatics. 17: 322 |
| Zhang X, Acencio ML, Lemke N. (2016) Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review. Frontiers in Physiology. 7: 75 |
| Laitz AV, Acencio ML, Budzinski IG, et al. (2015) Transcriptome Response Signatures Associated with the Overexpression of a Mitochondrial Uncoupling Protein (AtUCP1) in Tobacco. Plos One. 10: e0130744 |
| Kandoi G, Acencio ML, Lemke N. (2015) Prediction of druggable proteins using machine learning and systems biology: A mini-review Frontiers in Physiology. 6 |