Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mario Banuelos"'
Publikováno v:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Publikováno v:
EUSIPCO
The human genome, composed of nucleotides, is represented by a long sequence of the letters A,C,G,T. Typically, organisms in the same species have similar genomes that differ by only a few sequences of varying lengths at varying positions. These diff
Publikováno v:
EUSIPCO
Structural variants (SVs) are rearrangements in the DNA sequence of members within the same species. Detecting SVs is challenging because most approaches suffer from high-false positive rates. In this work, we improve the accuracy of SV detection by
Publikováno v:
ACSSC
Structural variants (SVs) are short sequences of DNA, larger than one nucleotide, that can vary between members of the same species. Although SVs are relatively rare, compared to single nucleotide variants (SNVs) they are an important source of genet
Autor:
Suzanne Sindi, Mario Banuelos
Publikováno v:
Mathematical Biosciences. 302:46-66
Transposable elements (TEs), segments of DNA capable of self-replication, are abundant in the genomes of most organisms and thus serve as a record of past mutational events. While some work suggests TEs may serve a regulatory function for the host, m
Publikováno v:
EUSIPCO
Genomic variations among a species consisting of one nucleotide change are known as single nucleotide polymorphisms (SNPs). Often these mutations result in a change in phenotype, but detecting higher order interaction of multiple SNPs remains a chall
Publikováno v:
MeMeA
Genomic variation shared by members of the same species that are longer than a single nucleotide are commonly called structural variants (SVs). Though relatively rare, they represent an increasingly important class of variation as SVs have been assoc
Publikováno v:
ICASSP
In this paper, we implement deep learning methods to recover downsampled noisy signals often present in compressed sensing applications. As an alternative to relying on previously established optimization based algorithms, we implement stacked denois
Publikováno v:
Methods (San Diego, Calif.). 173
Structural variants (SVs) are a class of genomic variation shared by members of the same species. Though relatively rare, they represent an increasingly important class of variation, as SVs have been associated with diseases and susceptibility to som