Cargando…
Prediction of Gene Expression Patterns With Generalized Linear Regression Model
Cell reprogramming has played important roles in medical science, such as tissue repair, organ reconstruction, disease treatment, new drug development, and new species breeding. Oct4, a core pluripotency factor, has especially played a key role in somatic cell reprogramming through transcriptional c...
Autores principales: | Liu, Shuai, Lu, Mengye, Li, Hanshuang, Zuo, Yongchun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409355/ https://www.ncbi.nlm.nih.gov/pubmed/30886626 http://dx.doi.org/10.3389/fgene.2019.00120 |
Ejemplares similares
-
SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models
por: Gao, Dalong, et al.
Publicado: (2022) -
Characterization of DNA Methylation Patterns and Mining of Epigenetic Markers During Genomic Reprogramming in SCNT Embryos
por: Cao, Pengbo, et al.
Publicado: (2020) -
Robustification of Linear Regression and Its Application in Genome-Wide Association Studies
por: Alamin, Md., et al.
Publicado: (2020) -
The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming
por: Li, Hanshuang, et al.
Publicado: (2019) -
A Predictive Based Regression Algorithm for Gene Network Selection
por: Guerrier, Stéphane, et al.
Publicado: (2016)