Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. - Mario Banuelos; Rubi Almanza; Lasith Adhikari; Roummel F. Marcia; Suzanne Sindi (EMBC, 2016)

Sparse signal recovery methods for variant detection in next-generation sequencing data. - Mario Banuelos; Rubi Almanza; Lasith Adhikari; Suzanne Sindi; Roummel F. Marcia (ICASSP, 2016)

Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. - Mario Banuelos; Rubi Almanza; Lasith Adhikari; Roummel F. Marcia; Suzanne Sindi (SSP, 2016)

Sparse diploid spatial biosignal recovery for genomic variation detection. - Mario Banuelos; Lasith Adhikari; Rubi Almanza; Andrew Fujikawa; Jonathan Sahagun; Katharine Sanderson; Melissa Spence; Suzanne Sindi; Roummel F. Marcia (MeMeA, 2017)

Nonconvex regularization for sparse genomic variant signal detection. - Mario Banuelos; Lasith Adhikari; Rubi Almanza; Andrew Fujikawa; Jonathan Sahagun; Katharine Sanderson; Melissa Spence; Suzanne Sindi; Roummel F. Marcia (MeMeA, 2017)

Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness. - Melissa Spence; Mario Banuelos; Roummel F. Marcia; Suzanne Sindi (BIBM, 2018)

Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery. - Mario Banuelos; Suzanne Sindi; Roummel F. Marcia (EMBC, 2018)

Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction. - Mario Banuelos; Suzanne Sindi; Roummel F. Marcia (ICASSP, 2018)

A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs. - Jackson Abascal; Amadou Bah; Mario Banuelos; David Uminsky 001; Olivia Vasquez (CoRR, 2018)

Detecting Higher Order Genomic Variant Interactions with Spectral Analysis. - David Uminsky 001; Mario Banuelos; Lillian González-Albino; Rosa Garza; Sylvia Akueze Nwakanma (EUSIPCO, 2019)

Deep Neural Networks for Low-resolution Photon-limited Imaging. - Omar DeGuchy; Fabian Santiago; Mario Banuelos; Roummel F. Marcia (ICASSP, 2019)

Predicting Novel and Inherited Variants in Parent-Child Trios. - Melissa Spence; Mario Banuelos; Roummel F. Marcia; Suzanne Sindi (MeMeA, 2019)

Detecting novel genomic structural variants through negative binomial optimization. - Andrew Lazar; Mario Banuelos; Suzanne Sindi; Roummel F. Marcia (ACSSC, 2020)

A Neural Network Approach for Anomaly Detection in Genomic Signals. - Erica Sawyer; Mario Banuelos; Roummel F. Marcia; Suzanne Sindi (APSIPA, 2020)

Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. - Mario Banuelos; Omar DeGuchy; Suzanne Sindi; Roummel F. Marcia (EUSIPCO, 2020)

Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios. - Melissa Spence; Mario Banuelos; Roummel F. Marcia; Suzanne Sindi (EUSIPCO, 2020)

Novel structural variant genome detection in extended pedigrees through negative binomial optimization. - Andrew Lazar; Mario Banuelos; Suzanne Sindi; Roummel F. Marcia (ACSCC, 2021)

A Recommendation Systems Approach for Detecting Epistasis in Genomic Signals. - Mario Banuelos; Marissa Hernandez (APSIPA ASC, 2021)

Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. - Mohammed Aburidi; Mario Banuelos; Suzanne Sindi; Roummel F. Marcia (MeMeA, 2023)

Sparse Negative Binomial Signal Recovery for Genomic Variant Prediction in Diploid Species. - Jocelyn Ornelas Munoz; Erica M. Rutter; Mario Banuelos; Suzanne S. Sindi; Roummel F. Marcia (EMBC, 2024)