Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dechao Shan"'
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-8 (2019)
Abstract Background Single cell transcriptome sequencing has become an increasingly valuable technology for dissecting complex biology at a resolution impossible with bulk sequencing. However, the gap between the technical expertise required to effec
Externí odkaz:
https://doaj.org/article/2643145516714beba277f52a17c31e14
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252429 (2021)
Applying deep learning to the field of preclinical in vivo studies is a new and exciting prospect with the potential to unlock decades worth of underutilized data. As a proof of concept, we performed a feasibility study on a colitis model treated wit
Externí odkaz:
https://doaj.org/article/9792d8cf3d574844bf4b1922ca50e9e1
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 6, p e0252429 (2021)
PLoS ONE, Vol 16, Iss 6, p e0252429 (2021)
Applying deep learning to the field of preclinical in vivo studies is a new and exciting prospect with the potential to unlock decades worth of underutilized data. As a proof of concept, we performed a feasibility study on a colitis model treated wit
Publikováno v:
BMC Genomics
BMC Genomics, Vol 20, Iss 1, Pp 1-8 (2019)
BMC Genomics, Vol 20, Iss 1, Pp 1-8 (2019)
Background Single cell transcriptome sequencing has become an increasingly valuable technology for dissecting complex biology at a resolution impossible with bulk sequencing. However, the gap between the technical expertise required to effectively wo