Suzanne Sindi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Statistical Model

Signal Recovery

Top Venues

Publications

Mohammed Aburidi, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. MeMeA (2023)
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)
Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Novel structural variant genome detection in extended pedigrees through negative binomial optimization. ACSCC (2021)
Alex John Quijano, Rick Dale, Suzanne Sindi
A Statistical Model of Word Rank Evolution. CoRR (2021)
Anne E. Carpenter, Casey S. Greene, Piero Carnici, Benilton S. Carvalho, Michiel de Hoon, Stacey Finley, Kim-Anh Le 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 (2021)
Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios. EUSIPCO (2020)
Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia
Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. EUSIPCO (2020)
Erica Sawyer, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
A Neural Network Approach for Anomaly Detection in Genomic Signals. APSIPA (2020)
Andrew Lazar, Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Detecting novel genomic structural variants through negative binomial optimization. ACSSC (2020)
Xiaolong Chen, Hansell Perez, Melissa Spence, Roummel F. Marcia, Suzanne Sindi
Fine Tuning Sparsity Penalties to Improve Structural Variant Detection. BIBM (2019)
Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
Predicting Novel and Inherited Variants in Parent-Child Trios. MeMeA (2019)
Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction. ICASSP (2018)
Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi
Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness. BIBM (2018)
Mario Banuelos, Suzanne Sindi, Roummel F. Marcia
Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery. EMBC (2018)
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)
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)
Mario Banuelos, Rubi Almanza, Lasith Adhikari, Roummel F. Marcia, Suzanne Sindi
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. EMBC (2016)
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)
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)