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pro vyhledávání: '"Nan Miles Xi"'
Autor:
Nan Miles Xi, Jingyi Jessica Li
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4079-4095 (2023)
Autoencoders are the backbones of many imputation methods that aim to relieve the sparsity issue in single-cell RNA sequencing (scRNA-seq) data. The imputation performance of an autoencoder relies on both the neural network architecture and the hyper
Externí odkaz:
https://doaj.org/article/5c3e3fa487bc4ddcb8e41c09c07b4e52
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested in improving its diagnosis, and thyroidectomy remains the primary treatment method. A successful operation without unnecessary sid
Externí odkaz:
https://doaj.org/article/80655623bec04e11bcfa41a063793564
Publikováno v:
Biomedicines, Vol 11, Iss 11, p 3034 (2023)
Lung diseases rank third in terms of mortality and represent a significant economic burden globally. Scientists have been conducting research to better understand respiratory diseases and find treatments for them. An ideal in vitro model must mimic t
Externí odkaz:
https://doaj.org/article/45b7e95df37440f79db0be0251a7e891
Autor:
Nan Miles Xi, Jingyi Jessica Li
Publikováno v:
STAR Protocols, Vol 2, Iss 3, Pp 100699- (2021)
Summary: The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis. Computational techniques have been developed for detecting doublets from scRNA-seq data. We developed an R package DoubletCollection to in
Externí odkaz:
https://doaj.org/article/6ef4c3c838864736b3ca5040f25b6a32
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/c919368c29bf4a1b97f48a35290e9670
Autor:
Nan Miles Xi, Jingyi Jessica Li
Autoencoders are the backbones of many imputation methods that aim to relieve the sparsity issue in single-cell RNA sequencing (scRNA-seq) data. The imputation performance of an autoencoder relies on both the neural network architecture and the hyper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74ddcfb1b58359cd01ab20fcc7fcbb4f
https://doi.org/10.1101/2023.02.16.528866
https://doi.org/10.1101/2023.02.16.528866
Publikováno v:
Journal of biopharmaceutical statistics. 32(3)
Torsades de pointes (TdP) is an irregular heart rhythm characterized by faster beat rates and potentially could lead to sudden cardiac death. Much effort has been invested in understanding the drug-induced TdP in preclinical studies. However, a compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ab84c956cd16d1badd044b2589008c
https://pubmed.ncbi.nlm.nih.gov/35771997
https://pubmed.ncbi.nlm.nih.gov/35771997
Publikováno v:
Bioinformatics
SummaryThe number of cells measured in single-cell transcriptomic data has grown fast in recent years. For such large-scale data, subsampling is a powerful and often necessary tool for exploratory data analysis. However, the easiest random subsamplin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a72eccb6e724fafb6b7d90485ef4f191
https://pubmed.ncbi.nlm.nih.gov/35426898
https://pubmed.ncbi.nlm.nih.gov/35426898
Autor:
Jingyi Jessica Li, Nan Miles Xi
Publikováno v:
Cell systems, vol 12, iss 2
Cell Syst
Cell Syst
In single-cell RNA sequencing (scRNA-seq), doublets form when two cells are encapsulated into one reaction volume. The existence of doublets, which appear to be-but are not-real cells, is a key confounder in scRNA-seq data analysis. Computational met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f30923e03e76719abf485c784d357e
https://escholarship.org/uc/item/6gr648np
https://escholarship.org/uc/item/6gr648np
Autor:
Jingyi Jessica Li, Nan Miles Xi
Publikováno v:
STAR Protocols
STAR protocols, vol 2, iss 3
STAR Protocols, Vol 2, Iss 3, Pp 100699-(2021)
STAR protocols, vol 2, iss 3
STAR Protocols, Vol 2, Iss 3, Pp 100699-(2021)
Summary The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis. Computational techniques have been developed for detecting doublets from scRNA-seq data. We developed an R package DoubletCollection to int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3f759fc159d6edd1d1c69d2b3b4a0d4