Mario Banuelos

发表

Modeling transposable element dynamics with fragmentation equations.

Suzanne S. Sindi, S. Sindi, Mario Banuelos, 2018, Mathematical biosciences.

A Recommendation Systems Approach for Detecting Epistasis in Genomic Signals

Mario Banuelos, Marissa Hernandez, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Developing Statistical Models for the Analysis of Genomic Variants

Mario Banuelos, Mario Banuelos, 2018 .

Detecting novel genomic structural variants through negative binomial optimization

Roummel F. Marcia, Suzanne S. Sindi, R. Marcia, 2020, 2020 54th Asilomar Conference on Signals, Systems, and Computers.

Sparse diploid spatial biosignal recovery for genomic variation detection

Roummel F. Marcia, Lasith Adhikari, Mario Banuelos, 2017, 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage

Roummel F. Marcia, Lasith Adhikari, Mario Banuelos, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

User-Item Recommendation Approaches to Detect Genomic Variant Interactions

Mario Banuelos, Emma Andrade, Nicholas Tom, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Sparse signal recovery methods for variant detection in next-generation sequencing data

Roummel F. Marcia, Lasith Adhikari, Mario Banuelos, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nonconvex regularization for sparse genomic variant signal detection

Roummel F. Marcia, Lasith Adhikari, Suzanne S. Sindi, 2017, 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs pdf

David Uminsky, Mario Banuelos, Jackson Abascal, 2018, ArXiv.

Biomedical signal recovery: Genomic variant detection in family lineages

Roummel F. Marcia, Lasith Adhikari, Mario Banuelos, 2017, 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG).

Deep Neural Networks for Low-resolution Photon-limited Imaging

Roummel F. Marcia, Omar DeGuchy, Mario Banuelos, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness

Roummel F. Marcia, Mario Banuelos, Melissa Spence, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Neural Network Approach for Anomaly Detection in Genomic Signals

R. Marcia, S. Sindi, Erica Sawyer, 2020, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Roummel F. Marcia, Omar DeGuchy, Mario Banuelos, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery

Roummel F. Marcia, Suzanne S. Sindi, Mario Banuelos, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction

Roummel F. Marcia, Suzanne S. Sindi, Mario Banuelos, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage

Roummel F. Marcia, Suzanne S. Sindi, Lasith Adhikari, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).