Работы, цитирующие эту работу

Работ: 2

Работа: Generalised Additive Models and Random Forest Approach as effective methods for predictive species density and functional species richness

1. Identification of Bioactive Compounds of the Endophytic Fungus <i>Aspergillus egypticus</i>-HT166S Inhibiting the Activity of Pancreatic α-Amylase

   D. M. Ruzieva, T.G. Gulyamova, Saodat Nasmetova +2

   СтатьяComputational Drug Discovery MethodsTurkish Journal of Pharmaceutical Sciences2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.article.001472

2. Comparison of different models in predicting habitat suitability of rare species in Uzbekistan: 8 rare Tulipa species case-study

   Khondamir R Rustamov

   ПрепринтSpecies Distribution and Climate ChangebioRxiv (Cold Spring Harbor Laboratory)2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.preprint.000021