Analysis of Half a Billion Datapoints Across Ten Machine-Learning Algorithms Identifies Key Elements Associated With Insulin Transcription in Human Pancreatic Islet Cells

Machine learning (ML)-workflows enable unprejudiced/robust evaluation of complex datasets. Here, we analyzed over 490,000,000 data points to compare 10 different ML-workflows in a large (N=11,652) training dataset of human pancreatic single-cell (sc-)transcriptomes to identify genes associated with...

Descripción completa

Detalles Bibliográficos
Autores principales: Wong, Wilson K. M., Thorat, Vinod, Joglekar, Mugdha V., Dong, Charlotte X., Lee, Hugo, Chew, Yi Vee, Bhave, Adwait, Hawthorne, Wayne J., Engin, Feyza, Pant, Aniruddha, Dalgaard, Louise T., Bapat, Sharda, Hardikar, Anandwardhan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986156/
https://www.ncbi.nlm.nih.gov/pubmed/35399953
http://dx.doi.org/10.3389/fendo.2022.853863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986156/
https://www.ncbi.nlm.nih.gov/pubmed/35399953
http://dx.doi.org/10.3389/fendo.2022.853863

Ejemplares similares