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Classification Models for Anticancer Activity

Journal: Current Topics in Medicinal Chemistry

Volume: 12 Issue: 2 Year: 2012 Page: 2705-2726

Author(s): R. Dutt, A.K. Madan

Classification of Medical Image Modeling Methods: A Review

Journal: Current Medical Imaging

Volume: 12 Issue: 2 Year: 2016 Page: 130-148

Author(s): Zahra Amini,Hossein Rabbani

Hidden Markov Model Signal Classification

Ebook: Comparative Bioacoustics: An Overview

Volume: 1 Year: 2017

Author(s): Michael T. Johnson,Patrick J. Clemins

Doi: 10.2174/9781681083179117010012

In Silico Classification Models for Anticancer Drugs

Ebook: Frontiers in Anti-Cancer Drug Discovery

Volume: 5 Year: 2015

Author(s): R. Dutt,A.K. Madan

Doi: 10.2174/9781681080581115050006

Research Article
A Fast Parallel Classification Model for the Diagnosis of Cancer

Journal: Recent Advances in Computer Science and Communications

Volume: 14 Issue: 1 Year: 2021 Page: 291-301

Author(s): Divya Jain,Vijendra Singh

Research Article
Deep Learning Model for Protein Disease Classification

Journal: Current Bioinformatics

Volume: 17 Issue: 3 Year: 2022 Page: 245-253

Author(s): Farida Alaaeldin Mostafa,Yasmine Mohamed Afify,Rasha Mohamed Ismail,Nagwa Lotfy Badr

Research Article
A New Computational Approach to the Classification of Fluoroquinolones According to the Biopharmaceutical Classification System

Journal: Current Computer-Aided Drug Design

Volume: 13 Issue: 1 Year: 2017 Page: 60-74

Author(s): Klosinska-Szmurlo Ewa, Mazurek A. Pawel, Grudzien Monika, Betlejewska-Kielak Katarzyna

Classification Methods in Chemometrics

Journal: Current Analytical Chemistry

Volume: 6 Issue: 1 Year: 2010 Page: 72-79

Author(s): Federico Marini

ANN and Bayesian Classification Models for Virtual Screening of Endocrine-Disrupting Chemicals

Journal: Combinatorial Chemistry & High Throughput Screening

Volume: 17 Issue: 5 Year: 2014 Page: 407-416

Author(s): Piotr Nowicki,Jolanta Klos,Zenon Kokot

Domain Knowledge-based BERT Model with Deep Learning for Text Classification

Ebook: Demystifying Emerging Trends in Machine Learning

Volume: 2 Year: 2025

Author(s):

Doi: 10.2174/9789815305395125020019

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