Mario Banuelos

发表

Developing Statistical Models for the Analysis of Genomic Variants

Mario Banuelos, Mario Banuelos, 2018 .

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).

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).

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).

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).

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).

Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios

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

Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery

Roummel F. Marcia, Lasith Adhikari, Mario Banuelos, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs pdf

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

Predicting Novel and Inherited Variants in Parent-Child Trios

Roummel F. Marcia, Mario Banuelos, Melissa Spence, 2019, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Student Self Assessment as a Learning Tool in Calculus

Mario Banuelos, 2014 .

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).

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 Inherited and Novel Structural Variants in Low-Coverage Parent-Child Sequencing Data.

Mario Banuelos, Melissa Spence, Roummel F Marcia, 2019, Methods.

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).

Detecting Higher Order Genomic Variant Interactions with Spectral Analysis

David Uminsky, Mario Banuelos, Lillian González-Albino, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

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).