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Victor Trevino
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2020 – today
- 2023
- [j13]Sarah G. Ayton, Victor Treviño:
MuTATE - an R package for comprehensive multi-objective molecular modeling. Bioinform. 39(9) (2023) - 2022
- [j12]Debora Garza-Hernandez, Karol Estrada, Victor Trevino:
Multivariate genome-wide association study models to improve prediction of Crohn's disease risk and identification of potential novel variants. Comput. Biol. Medicine 145: 105398 (2022) - 2021
- [c10]Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña:
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. BCB 2021: 34:1-34:5 - 2020
- [j11]Victor Trevino:
HotSpotAnnotations - a database for hotspot mutations and annotations in cancer. Database J. Biol. Databases Curation 2020 (2020)
2010 – 2019
- 2019
- [j10]José Garcia-Pelaez, David Rodriguez, Roberto Medina-Molina, Gerardo Garcia-Rivas, Carlos Jerjes-Sánchez, Victor Trevino:
PubTerm: a web tool for organizing, annotating and curating genes, diseases, molecules and other concepts from PubMed records. Database J. Biol. Databases Curation 2019: bay137 (2019) - 2017
- [j9]Elpidio-Emmanuel Gonzalez-Valbuena, Victor Trevino:
Metrics to estimate differential co-expression networks. BioData Min. 10(1): 32:1-32:15 (2017) - [j8]Victor Trevino, José G. Tamez-Peña:
VALORATE: fast and accurate log-rank test in balanced and unbalanced comparisons of survival curves and cancer genomics. Bioinform. 33(12): 1900-1901 (2017) - 2016
- [j7]Victor Trevino, Alberto Cassese, Zsuzsanna Nagy, Xiaodong Zhuang, John M. Herbert, Philipp Antzack, Kim Clarke, Nicholas Davies, Ayesha Rahman, Moray J. Campbell, Michele Guindani, Roy Bicknell, Marina Vannucci, Francesco Falciani:
A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells. PLoS Comput. Biol. 12(4) (2016) - 2015
- [j6]Hugo Gómez-Rueda, Emmanuel Martínez-Ledesma, Antonio Martínez-Torteya, Rebeca Palacios-Corona, Victor Trevino:
Integration and comparison of different genomic data for outcome prediction in cancer. BioData Min. 8: 32 (2015) - [j5]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Trevino, José Gerardo Tamez-Peña:
Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI. Comput. Math. Methods Medicine 2015: 794141:1-794141:10 (2015) - [c9]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Treviño, José G. Tamez-Peña:
Knee osteoarthritis image registration: data from the Osteoarthritis Initiative. Computer-Aided Diagnosis 2015: 94143C - 2014
- [j4]Raúl Aguirre-Gamboa, Victor Trevino:
SurvMicro: assessment of miRNA-based prognostic signatures for cancer clinical outcomes by multivariate survival analysis. Bioinform. 30(11): 1630-1632 (2014) - [c8]Jorge I. Galván-Tejada, Victor Trevino, José M. Celaya-Padilla, José G. Tamez-Peña:
Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative. CONIELECOMP 2014: 194-199 - [c7]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Carlos Eric Galván-Tejada, Victor Trevino, José G. Tamez-Peña:
Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI. MCPR 2014: 351-360 - [c6]José M. Celaya-Padilla, Juan Rodríguez-Rojas, Jorge I. Galván-Tejada, Antonio Martínez-Torteya, Victor Treviño, José G. Tamez-Peña:
Bilateral image subtraction features for multivariate automated classification of breast cancer risk. Computer-Aided Diagnosis 2014: 90351T - [c5]Antonio Martínez-Torteya, Juan Rodríguez-Rojas, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Victor Treviño, José G. Tamez-Peña:
MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression. Computer-Aided Diagnosis 2014: 903526 - [c4]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio Martínez-Torteya, Juan Rodríguez-Rojas, Victor Treviño, José G. Tamez-Peña:
Wide association study of radiological features that predict future knee OA pain: data from the OAI. Computer-Aided Diagnosis 2014: 903539 - 2013
- [c3]Antonio Martínez-Torteya, Victor Treviño-Alvarado, José G. Tamez-Peña:
Improved multimodal biomarkers for Alzheimer's disease and mild cognitive impairment diagnosis: data from ADNI. Computer-Aided Diagnosis 2013: 86700S - [c2]Juan Rodríguez-Rojas, Margarita Garza-Montemayor, Victor Treviño-Alvarado, José Gerardo Tamez-Peña:
Predictive features of breast cancer on Mexican screening mammography patients. Computer-Aided Diagnosis 2013: 867023 - [i1]José M. Celaya-Padilla, Juan Rodríguez-Rojas, Victor Trevino, José Gerardo Tamez-Peña:
Local image registration a comparison for bilateral registration mammography. CoRR abs/1308.2654 (2013) - 2012
- [j3]Roberto-Rafael Ramos-Rodriguez, Raquel Cuevas-Diaz-Duran, Francesco Falciani, José Gerardo Tamez-Peña, Victor Trevino:
COMPADRE: an R and web resource for pathway activity analysis by component decompositions. Bioinform. 28(20): 2701-2702 (2012) - 2010
- [j2]Emmanuel Martinez, Mario Moises Alvarez, Victor Trevino:
Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm. Comput. Biol. Chem. 34(4): 244-250 (2010)
2000 – 2009
- 2009
- [c1]Victor Trevino, Emmanuel Martinez, Mario Alvarez:
Swarm Intelligence Algorithm for Feature Selection from Large-Scale Functional Genomics Datasets. BIOCOMP 2009: 240-245 - 2006
- [j1]Victor Trevino, Francesco Falciani:
GALGO: an R package for multivariate variable selection using genetic algorithms. Bioinform. 22(9): 1154-1156 (2006)
Coauthor Index
aka: José Gerardo Tamez-Peña
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