Documentos de Rasulev B. | REDI

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Filtros aplicados

Palabras Claves: "multiple linear regression"

Subtipo de publicación

Publisher

Journal of Hazardous Materials(1)

Science of the Total Environment(1)

Área temáticas

Farmacología y terapéutica(2)

Fisiología y materias afines(2)

Métodos informáticos especiales(1)

Química orgánica(1)

Área de conocimiento

Toxicología(2)

Aprendizaje automático(1)

Biotecnología(1)

Relación cuantitativa estructura-actividad(1)

Objetivos de Desarrollo Sostenible

ODS 12: Producción y consumo responsables(2)

ODS 15: Vida de ecosistemas terrestres(2)

ODS 14: Vida submarina(1)

ODS 2: Hambre cero(1)

Año de Publicación

Origen

Palabras Claves

quantitative structure-toxicity relationship(2)

In silico toxicity(1)

Machine Learning(1)

Support Vector Regression(1)

AQUA Tox: A web tool for predicting aquatic toxicity in rotifer species using intrinsic explainable models

Abstract: The widespread use of chemicals in various industries, including agriculture, cosmetics, pharmaceuti

Palabras claves:

In silico toxicity, multiple linear regression, quantitative structure-toxicity relationship, Rotifer

Gerardo M. Casañola-Martin, González‐díaz H., Karel Diéguez-Santana, Rasulev B., Roldán Torres Gutiérrez

First report on Quantitative Structure-Toxicity Relationship modeling approaches for the prediction of acute toxicity of various organic chemicals against rotifer species

Abstract: Nowadays, organic chemicals are crucial components in virtually every aspect of daily life, serving

Palabras claves:

ecotoxicity, Machine Learning, multiple linear regression, quantitative structure-toxicity relationship, Rotifer, Support Vector Regression

Gerardo M. Casañola-Martin, González‐díaz H., Karel Diéguez-Santana, Rasulev B., Roldán Torres Gutiérrez