Borguesan, B., Inostroza-Ponta, M., & Dorn, M. (2017). NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins. Journal of Computational Biology, 24(3), 255–265. https://doi.org/10.1089/cmb.2016.0074
type: JOURNAL ARTICLES
A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix - How to Evaluate When There is Not DRGs?
Villalobos-Cid, M., Chacón-Pacheco, M., Zitko-Melo, P., & Inostroza-Ponta, M. (2016). A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix. In Journal of Medical Systems (Vol. 40, Issue 4). Springer Science and Business Media LLC. https://doi.org/10.1007/s10916-016-0458-9.
APL: An angle probability list to improve knowledge-based metaheuristics for the threedimensional protein structure prediction
Borguesan, B., E Silva, M. B., Grisci, B., Inostroza-Ponta, M., & Dorn, M. (2015). APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. Computational Biology and Chemistry, 59, 142–157. https://doi.org/10.1016/j.compbiolchem.2015.08.006
(GTG)5 MSP-PCR Fingerprinting as a Technique for Discrimination of Wine Associated Yeasts?
Ramírez-Castrillón, M., Mendes, S. D. C., Inostroza-Ponta, M., & Valente, P. (2014). (GTG)5 MSP-PCR fingerprinting as a technique for discrimination of wine associated yeasts? PLoS ONE, 9(8), Artículo e105870. https://doi.org/10.1371/journal.pone.0105870
Quantitative description of the morphology and ossification center in the axial skeleton of 20‐week gestation formalin‐fixed human fetuses using magnetic resonance images
Chabert, S., Villalobos, M., Ulloa, P., Salas, R., Tejos, C., San Martin, S., & Pereda, J. (2012). Quantitative description of the morphology and ossification center in the axial skeleton of 20‐week gestation formalin‐fixed human fetuses using magnetic resonance images. In Prenatal Diagnosis (Vol. 32, Issue 3, pp. 252–258). Wiley. https://doi.org/10.1002/pd.2942.
Genome-wide analysis of long noncoding RNA stability
Clark, M. B., Johnston, R. L., Inostroza-Ponta, M., Fox, A. H., Fortini, E., Moscato, P., Dinger, M. E., & Mattick, J. S. (2012). Genome-wide analysis of long noncoding RNA stability. Genome Research, 22(5), 885–898. https://doi.org/10.1101/gr.131037.111
Clustering nodes in large-scale biological networks using external memory algorithms
Arefin, A. S., Inostroza-Ponta, M., Mathieson, L., Berretta, R., & Moscato, P. (2011). Clustering nodes in large-scale biological networks using external memory algorithms. In Lecture Notes in Computer Science (Vol. 7017 LNCS, pp. 375–386). Springer. https://doi.org/10.1007/978-3-642-24669-2_36
QAPgrid: A Two Level QAP-Based Approach for Large-Scale Data Analysis and Visualization
Inostroza-Ponta, M., Berretta, R., & Moscato, P. (2011). QAPgrid: A two level QAP-based approach for large-scale data analysis and visualization. PLoS ONE, 6(1), Artículo e14468. https://doi.org/10.1371/journal.pone.0014468
A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple Sclerosis
Riveros, C., Mellor, D., Gandhi, K. S., McKay, F. C., Cox, M. B., Berretta, R., Vaezpour, S. Y., Inostroza-Ponta, M., Broadley, S. A., Heard, R. N., Vucic, S., Stewart, G. J., Williams, D. W., Scott, R. J., Lechner-Scott, J., Booth, D. R., & Moscato, P. (2010). A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple Sclerosis. PLoS ONE, 5(12), Artículo e14176. https://doi.org/10.1371/journal.pone.0014176
Is there more than one proctitis syndrome? A revisitation using data from the TROG 96.01 trial
Capp, A., Inostroza-Ponta, M., Bill, D., Moscato, P., Lai, C., Christie, D., Lamb, D., Turner, S., Joseph, D., Matthews, J., Atkinson, C., North, J., Poulsen, M., Spry, N. A., Tai, K.-H., Wynne, C., Duchesne, G., Steigler, A., & Denham, J. W. (2009). Is there more than one proctitis syndrome? A revisitation using data from the TROG 96.01 trial. Radiotherapy and Oncology, 90(3), 400–407. https://doi.org/10.1016/j.radonc.2008.09.019