You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data
|
---|---|
Chapter number | 27 |
Book title |
Engineering Applications of Neural Networks
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-08223-8_27 |
Book ISBNs |
978-3-03-108222-1, 978-3-03-108223-8
|
Authors |
Coppola, Gianmarco, Fiannaca, Antonino, La Rosa, Massimo, La Paglia, Laura, Urso, Alfonso, Gaglio, Salvatore |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Unknown | 3 | 100% |