Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia
Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia
About this item
Full title
Author / Creator
Brain Somatic Mosaicism Network , Zhu, Xiaowei , Zhou, Bo , Pattni, Reenal , Gleason, Kelly , Tan, Chunfeng , Kalinowski, Agnieszka , Sloan, Steven , Fiston-Lavier, Anna-Sophie , Mariani, Jessica , Petrov, Dmitri , Barres, Ben A. , Duncan, Laramie , Abyzov, Alexej , Vogel, Hannes , Moran, John V. , Vaccarino, Flora M. , Tamminga, Carol A. , Levinson, Douglas F. and Urban, Alexander E.
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publication information
Publisher
New York: Nature Publishing Group US
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More information
Scope and Contents
Contents
Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesized to have relevance to brain development and neuropsychiatric disease. However, the detection of individual somatic mobile element insertions presents a difficult signal-to-noise problem. Using a machine-learning method (RetroSom) and deep whole-gen...
Alternative Titles
Full title
Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia
Authors, Artists and Contributors
Author / Creator
Zhu, Xiaowei
Zhou, Bo
Pattni, Reenal
Gleason, Kelly
Tan, Chunfeng
Kalinowski, Agnieszka
Sloan, Steven
Fiston-Lavier, Anna-Sophie
Mariani, Jessica
Petrov, Dmitri
Barres, Ben A.
Duncan, Laramie
Abyzov, Alexej
Vogel, Hannes
Moran, John V.
Vaccarino, Flora M.
Tamminga, Carol A.
Levinson, Douglas F.
Urban, Alexander E.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8806165
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8806165
Other Identifiers
ISSN
1097-6256
E-ISSN
1546-1726
DOI
10.1038/s41593-020-00767-4
