@conference {659, title = {A biocomputational application for the automated construction of large-scale metabolic models from transcriptomic data}, booktitle = {2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI)}, year = {2016}, month = {Nov}, keywords = {aldehyde dehydrogenase, automated construction, biochemistry, biocomputational application, biocomputing, Biological system modeling, biology approach, biology computing, Breast cancer, breast cancer cell lines, breast cancer stem cells, cancer, cancer behavior, cancer chemoresistance, cancer evolution, cancer-specific alterations, cell death, chemotherapy response, Computational modeling, Data models, FBA, Flux balance analysis, gene expression data, general metabolic model, glutathione peroxidase, glycolysis, large-scale metabolic models, Mathematical model, medical diagnostic computing, metabolic models, personalized cancer targets, therapy resistance, transcriptomic data, Tumors}, doi = {10.1109/CONCAPAN.2016.7942349}, author = {B. V. Edwin and S. C. Francisco and M. R. RA} } @conference {661, title = {Biocomputing platform module for cancer genomics and chemotherapy}, booktitle = {2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI)}, year = {2016}, month = {Nov}, keywords = {Analytical models, batched analysis, biocomputing, biocomputing platform module, Bioinformatics, cancer, cancer cell lines, cancer genomics, chemotherapeutic compounds, chemotherapeutic data, chemotherapy, data analysis, Data models, Data Processing, Data visualization, exploratory data analysis, gene expression, gene profile, genetics, Genomics, Learning Systems, medical computing, patient treatment, pattern clustering, Pattern Recognition, regression, regression analysis, unsupervised clustering models}, doi = {10.1109/CONCAPAN.2016.7942342}, author = {J. C. Coto and F. Siles and R. Mora-Rodriguez} }