Machine learning methods for cancer classification using gene expression data: A review

F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies

A Mukherjee, S Abraham, A Singh, S Balaji… - Molecular …, 2024 - Springer
In the dynamic landscape of targeted therapeutics, drug discovery has pivoted towards
understanding underlying disease mechanisms, placing a strong emphasis on molecular …

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks

Y Zhu, J Gao, Z Wang, W Liao, X Zheng, L Liang… - arXiv preprint arXiv …, 2024 - arxiv.org
The use of Large Language Models (LLMs) in medicine is growing, but their ability to handle
both structured Electronic Health Record (EHR) data and unstructured clinical notes is not …

Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways

PN Nguyen - BMC bioinformatics, 2024 - Springer
Background Biomarker discovery is a challenging task due to the massive search space.
Quantum computing and quantum Artificial Intelligence (quantum AI) can be used to address …

RETRACTED ARTICLE: Predictive modelling for molecular cancer profile classification using hybrid learning techniques

SB Bhonde, SK Wagh, JR Prasad - Soft Computing, 2023 - Springer
Cancer is caused when a common cell is progressively transformed into an uncontrollable
tumorous cell which is a malignant one. Microarray analysis is used in classifications and …

Utilizing Machine Learning Techniques for Categorizing Cancer Based on Gene Expression Data: A Review

S Begum, S Dey, D Chakraborty… - Journal of Electrical …, 2024 - search.proquest.com
Cancer is a group of diseases which share one common feature: the growth of abnormal
cells, thus ranking as the second leading cause of death globally, after cardiovascular …

Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data

O Oyegbile, F Saeed, S Bamansoor - International Conference of Reliable …, 2023 - Springer
In this study, we present a novel approach to improve cancer classification using high-
dimensional microarray data. The proposed method combines a hybrid filter and a genetic …

[PDF][PDF] Reviewing the Utilization of Machine Learning Techniques in Cancer Classification with Gene Expression Data: An Analysis

NR Choudhury, AK Chaudhuri, S Ghosh, S Paul - researchgate.net
Even after all these years, it seems that cancer still casts this long shadow over every aspect
of public health and the number of its victims keeps increasing making cancer the second …

[PDF][PDF] Aplicacion de algoritmos de inteligencia artificial para la deteccion de biomarcadores durante el tratamiento de pacientes con cáncer de vejiga

AP Ponce - repositorio.puce.edu.ec
This study explores the application of artificial intelligence algorithms to genomic data in
search of potential biomarkers for personalized bladder cancer treatments. For this study …