Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pavan K. Kota"'
Publikováno v:
IEEE Trans Signal Process
Compressed sensing (CS) is a signal processing technique that enables the efficient recovery of a sparse high-dimensional signal from low-dimensional measurements. In the multiple measurement vector (MMV) framework, a set of signals with the same sup
Autor:
Pavan K. Kota, Hoang-Anh Vu, Daniel LeJeune, Margaret Han, Saamiya Syed, Richard G. Baraniuk, Rebekah A. Drezek
Microfluidics can split samples into thousands or millions of partitions such as droplets or nanowells. Partitions capture analytes according to a Poisson distribution, and in diagnostics, the analyte concentration is commonly calculated with a close
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f62d63018da82a19ea5eb91b9ba342a7
https://doi.org/10.1101/2022.12.23.521805
https://doi.org/10.1101/2022.12.23.521805
Autor:
C. J. Barberan, Gaurav Gupta, Qi Wang, Benjamin Coleman, Pavan K. Kota, R. A. Leo Elworth, Richard G. Baraniuk, Anshumali Shrivastava, Todd J. Treangen, Advait Balaji
Publikováno v:
Nucleic Acids Research
As computational biologists continue to be inundated by ever increasing amounts of metagenomic data, the need for data analysis approaches that keep up with the pace of sequence archives has remained a challenge. In recent years, the accelerated pace
MotivationThe scalable design of safe guide RNA sequences for CRISPR gene editing depends on the computational “scoring” of DNA locations that may be edited. As there is no widely accepted benchmark dataset to compare scoring models, we present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ce02c3cb9cd0873dd4cbd54e2d7daa
https://doi.org/10.1101/2021.08.28.457846
https://doi.org/10.1101/2021.08.28.457846