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
type: <2015
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
An integrated QAP-based approach to visualize patterns of gene expression similarity
Inostroza-Ponta, M., Mendes, A., Berretta, R., & Moscato, P. (2007). An integrated QAP-based approach to visualize patterns of gene expression similarity. In Lecture Notes in Computer Science (Vol. 4828 LNAI, pp. 156–167). Springer. https://doi.org/10.1007/978-3-540-76931-6_14
An automatic graph layout procedure to visualize correlated data
Inostroza-Ponta, M., Berretta, R., Mendes, A., & Moscato, P. (2006). An automatic graph layout procedure to visualize correlated data. IFIP International Federation for Information Processing, 217, 179–188. https://doi.org/10.1007/978-0-387-34747-9_19
Using Genetic Algorithms and Tabu search parallel models to solve the scheduling problem
Pinacho, P., Solar, M., Inostroza, M., & Muñoz, R. (2004). Using Genetic Algorithms and Tabu search parallel models to solve the scheduling problem. IFIP Advances in Information and Communication Technology, 154, 343–357. Springer