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Mario Banuelos
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2020 – today
- 2023
- [c19]Sarah Garner, Mario Banuelos, Emma Andrade, Nicholas Tom:
Recommendation and Clustering Methods for Quantifying Genomic Signal Interactions. ISPA 2023: 1-6 - [c18]Mohammed Aburidi, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia:
Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. MeMeA 2023: 1-5 - 2021
- [c17]Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia:
Novel structural variant genome detection in extended pedigrees through negative binomial optimization. ACSCC 2021: 563-567 - [c16]Mario Banuelos, Marissa Hernandez:
A Recommendation Systems Approach for Detecting Epistasis in Genomic Signals. APSIPA ASC 2021: 1277-1280 - 2020
- [c15]Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia:
Detecting novel genomic structural variants through negative binomial optimization. ACSSC 2020: 511-515 - [c14]Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi:
A Neural Network Approach for Anomaly Detection in Genomic Signals. APSIPA 2020: 968-971 - [c13]Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia:
Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. EUSIPCO 2020: 1215-1219 - [c12]Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi:
Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios. EUSIPCO 2020: 1318-1322
2010 – 2019
- 2019
- [c11]David Uminsky, Mario Banuelos, Lillian González-Albino, Rosa Garza, Sylvia Akueze Nwakanma:
Detecting Higher Order Genomic Variant Interactions with Spectral Analysis. EUSIPCO 2019: 1-5 - [c10]Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia:
Deep Neural Networks for Low-resolution Photon-limited Imaging. ICASSP 2019: 3247-3251 - [c9]Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi:
Predicting Novel and Inherited Variants in Parent-Child Trios. MeMeA 2019: 1-6 - 2018
- [c8]Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi:
Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness. BIBM 2018: 943-950 - [c7]Mario Banuelos, Suzanne Sindi, Roummel F. Marcia:
Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery. EMBC 2018: 1311-1314 - [c6]Mario Banuelos, Suzanne Sindi, Roummel F. Marcia:
Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction. ICASSP 2018: 906-910 - [i1]Jackson Abascal, Amadou Bah, Mario Banuelos, David Uminsky, Olivia Vasquez:
A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs. CoRR abs/1812.04230 (2018) - 2017
- [c5]Mario Banuelos, Lasith Adhikari
, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia:
Sparse diploid spatial biosignal recovery for genomic variation detection. MeMeA 2017: 275-280 - [c4]Mario Banuelos, Lasith Adhikari
Nonconvex regularization for sparse genomic variant signal detection. MeMeA 2017: 281-286 - 2016
- [c3]Mario Banuelos, Rubi Almanza, Lasith Adhikari
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC 2016: 3490-3493 - [c2]Mario Banuelos, Rubi Almanza, Lasith Adhikari
Sparse signal recovery methods for variant detection in next-generation sequencing data. ICASSP 2016: 864-868 - [c1]Mario Banuelos, Rubi Almanza, Lasith Adhikari
Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. SSP 2016: 1-5
Coauthor Index
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