q-RASAR A Path to Predictive Cheminformatics /
This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It...
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| Main Authors: | Roy, Kunal (Author), Banerjee, Arkaprava (Author) |
|---|---|
| Autor Corporativo: | SpringerLink (Online service) |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
|
| Edición: | 1st ed. 2024. |
| Series: | SpringerBriefs in Molecular Science,
|
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-031-52057-0 |
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