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Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

Tanevski, Jovan, Nguyen, Thin, Truong, Buu, Karaiskos, Nikos, Ahsen, Mehmet Eren, Zhang, Xinyu, Shu, Chang, Xu, Ke, Liang, Xiaoyu, Hu, Ying, Pham, Hoang VV, Xiaomei, Li, Le, Thuc D, Tarc, Adi L, Bhatti, Gaurav, Romero, Roberto, Karathanasis, Nestoras, Loher, Phillipe, Chen, Yang and Ouyang, Zhengqing 2020, Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data, Life science alliance, vol. 3, no. 11, pp. 1-13, doi: 10.26508/LSA.202000867.

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Title Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
Author(s) Tanevski, Jovan
Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Truong, Buu
Karaiskos, Nikos
Ahsen, Mehmet Eren
Zhang, Xinyu
Shu, Chang
Xu, Ke
Liang, Xiaoyu
Hu, Ying
Pham, Hoang VV
Xiaomei, Li
Le, Thuc D
Tarc, Adi L
Bhatti, Gaurav
Romero, Roberto
Karathanasis, Nestoras
Loher, Phillipe
Chen, Yang
Ouyang, Zhengqing
Journal name Life science alliance
Volume number 3
Issue number 11
Start page 1
End page 13
Total pages 13
Publisher Life Science Alliance
Place of publication Cold Spring Harbor, N.Y.
Publication date 2020-11
ISSN 2575-1077
2575-1077
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Biology
Life Sciences & Biomedicine - Other Topics
SPATIAL RECONSTRUCTION
EXPRESSION
ATLAS
SEQ
DREAM SCTC Consortium
Language eng
DOI 10.26508/LSA.202000867
Indigenous content off
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2020, Tanevski et al.
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143524

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.