Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alexander Vargo"'
Autor:
Mashiat Rabbani, Xianing Zheng, Gabe L. Manske, Alexander Vargo, Adrienne N. Shami, Jun Z. Li, Saher Sue Hammoud
Publikováno v:
Annual review of genetics. 56
Spermatogenesis is a complex differentiation process coordinated spatiotemporally across and along seminiferous tubules. Cellular heterogeneity has made it challenging to obtain stage-specific molecular profiles of germ and somatic cells using bulk t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8e103f281fcc5deb9c8d645e4725ce
https://pubmed.ncbi.nlm.nih.gov/36070560
https://pubmed.ncbi.nlm.nih.gov/36070560
Autor:
Anna C. Gilbert, Alexander Vargo
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-51 (2020)
BMC Bioinformatics
BMC Bioinformatics
Background High throughput microfluidic protocols in single cell RNA sequencing (scRNA-seq) collect mRNA counts from up to one million individual cells in a single experiment; this enables high resolution studies of rare cell types and cell developme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cdfc518d8f640f23106af43faac2474
http://link.springer.com/article/10.1186/s12859-020-03641-z
http://link.springer.com/article/10.1186/s12859-020-03641-z
Autor:
Alexander Vargo, Anna C. Gilbert
Here, we evaluate the performance of a variety of marker selection methods on scRNA-seq UMI counts data. We test on an assortment of experimental and synthetic data sets that range in size from several thousand to one million cells. In addition, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::118c8ac36932142861ddb8238deaf1fd
https://doi.org/10.1101/679761
https://doi.org/10.1101/679761
Publikováno v:
Nature. 499:163-165
Shor's quantum factoring algorithm exponentially outperforms known classical methods. Previous experimental implementations have used simplifications dependent on knowing the factors in advance. However, as we show here, all composite numbers admit s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9be16eb28d4a8752c9673bb73b3cf510
https://doi.org/10.1038/nature12290
https://doi.org/10.1038/nature12290
We describe two implementations of the optimal error correction algorithm known as the maximum likelihood decoder (MLD) for the 2D surface code with a noiseless syndrome extraction. First, we show how to implement MLD exactly in time $O(n^2)$, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc0dd1515deb90aa2355bda5fe297ef
http://arxiv.org/abs/1405.4883
http://arxiv.org/abs/1405.4883
Autor:
Sergey Bravyi, Alexander Vargo
We consider the problem of calculating the logical error probability for a stabilizer quantum code subject to random Pauli errors. To access the regime of large code distances where logical errors are extremely unlikely we adopt the splitting method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42869392f3fb9dfe97477b66ddea1f44
http://arxiv.org/abs/1308.6270
http://arxiv.org/abs/1308.6270
Publikováno v:
Physical Review A. 87
The Gottesman-Knill theorem allows for the efficient simulation of stabilizer-based quantum error-correction circuits. Errors in these circuits are commonly modeled as depolarizing channels by using Monte Carlo methods to insert Pauli gates randomly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0531aac117c1bd23b6d5a839368cd878
https://doi.org/10.1103/physreva.87.030302
https://doi.org/10.1103/physreva.87.030302