Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shruthi Prabhakara"'
Autor:
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 6, p e0003204 (2024)
Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in these populations, yet many existing CVD risk scores require a physical
Externí odkaz:
https://doaj.org/article/ce69a567c2d14f539f32261159621712
Autor:
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla P. Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara
Publikováno v:
Radiology. 306:124-137
Background The World Health Organization (WHO) recommends chest radiography to facilitate tuberculosis (TB) screening. However, chest radiograph interpretation expertise remains limited in many regions. Purpose To develop a deep learning system (DLS)
Mutant-bin: unsupervised haplotype estimation of viral population diversity without reference genome
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 20(6)
High genetic variability in viral populations plays an important role in disease progression, pathogenesis, and drug resistance. The last few years has seen significant progress in the development of methods for reconstruction of viral populations us
Publikováno v:
Pattern Recognition in Bioinformatics ISBN: 9783642391583
PRIB
PRIB
Viral haplotype estimation in a population is an important problem in virology. Viruses undergo a high number of mutations and recombinations during replication for their survival in host cells and exist as a population of closely related genetic var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::159055e3a2634addf897566c6d599833
https://doi.org/10.1007/978-3-642-39159-0_24
https://doi.org/10.1007/978-3-642-39159-0_24
Autor:
Raj Acharya, Shruthi Prabhakara
Publikováno v:
Journal of Biomedicine and Biotechnology, Vol 2012 (2012)
Journal of Biomedicine and Biotechnology
Journal of Biomedicine and Biotechnology
A major challenge facing metagenomics is the development of tools for the characterization of functional and taxonomic content of vast amounts of short metagenome reads. The efficacy of clustering methods depends on the number of reads in the dataset
Publikováno v:
Pattern Recognition in Bioinformatics ISBN: 9783642341229
PRIB
PRIB
V(D)J gene segments undergo combinatorial recombination in the T-cells and B-cells to provide humans and other vertebrates with a large number of antibodies required for immunity. Each such recombination further undergoes mutations in their DNA seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d75e695ff4ff5e6a6a4ebab8303361c
https://doi.org/10.1007/978-3-642-34123-6_19
https://doi.org/10.1007/978-3-642-34123-6_19
Autor:
Raj Acharya, Shruthi Prabhakara
Publikováno v:
BCB
Motivation: A major challenge facing metagenomics is the development of tools for the characterization of functional and taxonomic content of vast amounts of short metagenome reads. The efficacy of clustering methods depends on the number of reads in
Autor:
Raj Acharya, Shruthi Prabhakara
Publikováno v:
Pattern Recognition in Bioinformatics ISBN: 9783642248542
PRIB
PRIB
We present a new and efficient Bayesian mixture model based on Poisson and Multinomial distributions for clustering metagenomic reads by their species of origin. We use the relative abundance of different words along a genome to distinguish reads fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b961adff7d14a529ed82ab580b69633
https://doi.org/10.1007/978-3-642-24855-9_3
https://doi.org/10.1007/978-3-642-24855-9_3
Autor:
Raj Acharya, Shruthi Prabhakara
Publikováno v:
Pattern Recognition in Bioinformatics ISBN: 9783642160004
PRIB
PRIB
A major challenge facing metagenomics is the development of tools for the characterization of functional and taxonomic content of vast amounts of short metagenome reads. In this paper, we present a two pass semi-supervised algorithm, SimComp, for sof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c288c2a815664c1be62f6bd0904ddcb2
https://doi.org/10.1007/978-3-642-16001-1_10
https://doi.org/10.1007/978-3-642-16001-1_10
Autor:
Raj Acharya, Shruthi Prabhakara
Publikováno v:
Journal of Biomedicine and Biotechnology
Journal of Biomedicine and Biotechnology, Vol 2012 (2012)
Journal of Biomedicine and Biotechnology, Vol 2012 (2012)
The reference in the originally published paper reads, “S. Nasser, A. Breland, F. Harris, and M. Nicolescu, “Metagenome fragment classification using n-mer frequency profiles,” in Proceedings of the Annual Meeting of the North American Fuzzy In