Search Result "Naive Bayesian."
Bayesian Modeling in Virtual High Throughput Screening
Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 5 Year: 2009 Page: 469-483
Author(s): Anthony E. Klon
Machine Learning for Mass Spectrometry Data Analysis in Proteomics
Journal: Current Proteomics
Volume: 18 Issue: 5 Year: 2021 Page: 620-634
Author(s): Juntao Li,Kanglei Zhou,Bingyu Mu
Realization Methods of Computer-aided Diagnosis System of Medical Images
Journal: Recent Patents on Engineering
Volume: 14 Issue: 3 Year: 2020 Page: 483-487
Author(s): Muhammad A. Ashraf,Shahreen Kasim
Prediction using Machine Learning
Ebook: Handbook of Artificial Intelligence
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124514123010005
Plasma HIV Load and Proviral DNA Decreases After Two Standard Antiretroviral Regimens in HIV-Positive Patients Naive to Antiretrovirals
Journal: Current HIV Research
Volume: 6 Issue: 1 Year: 2008 Page: 43-48
Author(s): Carlo Torti, Maria Eugenia Quiros-Roldan, Giuliana Cologni, Michele Nichelatti, Francesca Ceresoli, Marcello Pinti, Milena Nasi, Andrea Cossarizza, Giuseppe Lapadula, Silvia Costarelli, Nino Manca, Franco Gargiulo, Michele Magoni, Giampiero Carosi
Applications of Machine Learning Methods in Drug Toxicity Prediction
Journal: Current Topics in Medicinal Chemistry
Volume: 18 Issue: 12 Year: 2018 Page: 987-997
Author(s): Li Zhang,Hui Zhang,Haixin Ai,Huan Hu,Shimeng Li,Jian Zhao,Hongsheng Liu
Advantages and Disadvantages of Each Approach
Ebook: Young People’s Visions of the World
Volume: 1 Year: 2010
Author(s): Monika Pinchas
Doi: 10.2174/97816080535201120101
Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach
Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 19 Issue: 4 Year: 2016 Page: 307-318
Author(s): Vijay Rathod,Vilas Belekar,Prabha Garg,Abhay T. Sangamwar
Applications of Machine Learning
Ebook: Handbook of Artificial Intelligence
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124514123010004
Prediction of Metabolism of Drugs using Artificial Intelligence: How far have we reached?
Journal: Current Drug Metabolism
Volume: 17 Issue: 2 Year: 2016 Page: 129-141
Author(s): Rajnish Kumar, Anju Sharma, Mohammed Haris Siddiqui, Rajesh Kumar Tiwari