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Pseudo-Location: A novel predictor for predicting pseudo-temporal gene expression patterns using spatial functional regression

Kyungmin Ahn, Hironobu Fujiwara
doi: https://doi.org/10.1101/2020.06.11.145565
Kyungmin Ahn
1RIKEN Center for Biosystems Dynamics Research (BDR)
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  • For correspondence: kyungmin.ahn@riken.jp
Hironobu Fujiwara
2RIKEN
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Statement of withdrawal

The authors have withdrawn version 1 of this manuscript because a draft manuscript, which was still in the early stages of preparation and required major revisions including the replacement of the source RNA-seq datasets, was erroneously submitted. The authors do not wish this version to be cited as reference for this study. We will post a revised manuscript in the future. If you have any questions, please contact the corresponding author.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted September 02, 2020.
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Pseudo-Location: A novel predictor for predicting pseudo-temporal gene expression patterns using spatial functional regression
Kyungmin Ahn, Hironobu Fujiwara
bioRxiv 2020.06.11.145565; doi: https://doi.org/10.1101/2020.06.11.145565
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Pseudo-Location: A novel predictor for predicting pseudo-temporal gene expression patterns using spatial functional regression
Kyungmin Ahn, Hironobu Fujiwara
bioRxiv 2020.06.11.145565; doi: https://doi.org/10.1101/2020.06.11.145565

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