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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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Roy, Kunal (Author), Banerjee, Arkaprava (Author)
Kaituhi rangatōpū: SpringerLink (Online service)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Putanga:1st ed. 2024.
Rangatū:SpringerBriefs in Molecular Science,
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/978-3-031-52057-0
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Ipurangi

https://doi.org/10.1007/978-3-031-52057-0