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2020 – today
- 2023
[c16]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- 2022
- [j1]Fabian Santiago
, Suzanne Sindi:
A structured model and likelihood approach to estimate yeast prion propagon replication rates and their asymmetric transmission. PLoS Comput. Biol. 18(7) (2022) - 2021
- [c15]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 - [i2]Anne E. Carpenter, Casey S. Greene, Piero Carnici, Benilton S. Carvalho, Michiel de Hoon, Stacey D. Finley, Kim-Anh Lê Cao, Jerry S. H. Lee, Luigi Marchionni, Suzanne Sindi, Fabian J. Theis, Gregory P. Way, Jean Y. H. Yang, Elana J. Fertig:
A field guide to cultivating computational biology. CoRR abs/2104.11364 (2021) - [i1]Alex John Quijano, Rick Dale, Suzanne Sindi:
A Statistical Model of Word Rank Evolution. CoRR abs/2107.09948 (2021) - 2020
- [c14]Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia:
Detecting novel genomic structural variants through negative binomial optimization. ACSSC 2020: 511-515 - [c13]Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi:
A Neural Network Approach for Anomaly Detection in Genomic Signals. APSIPA 2020: 968-971 - [c12]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 - [c11]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
- [c10]Xiaolong Chen, Hansell Perez, Melissa Spence, Roummel F. Marcia, Suzanne Sindi:
Fine Tuning Sparsity Penalties to Improve Structural Variant Detection. BIBM 2019: 1182-1184 - [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 - 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, Rubi Almanza, Andrew Fujikawa, Jonathan Sahagun, Katharine Sanderson, Melissa Spence, Suzanne Sindi, Roummel F. Marcia:
Nonconvex regularization for sparse genomic variant signal detection. MeMeA 2017: 281-286 - 2016
- [c3]Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi:
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC 2016: 3490-3493 - [c2]Mario Banuelos, Rubi Almanza, Lasith Adhikari, Suzanne Sindi, Roummel F. Marcia:
Sparse signal recovery methods for variant detection in next-generation sequencing data. ICASSP 2016: 864-868 - [c1]Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi:
Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. SSP 2016: 1-5
Coauthor Index
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