Suzanne Sindi — accepted AI-conference papers

2018

Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction

Mario Banuelos, Suzanne Sindi, Roummel F. Marcia

ICASSP 2018accepted

Structural variants (SVs) - novel adjacencies in an individual's genome - lead to genomic diversity across all organisms. When DNA fragments of an unknown genome are compared to a reference genome, errors in sequencing and mapping obscure true genomic rearrangements. When the sequencing coverage is…

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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 2016accepted

Recent advances in high-throughput sequencing technologies, have led to the collection of vast quantities of genomic data., Structural variants (SVs) - rearrangements of the genome, larger than one letter such as inversions, insertions, deletions, and duplications - are an important source of geneti…

Cited by 0 Source ↗Scholar ↗