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 …
that can spread in different parts of the body. According to the World Health Organization …
Machine learning for the advancement of genome-scale metabolic modeling
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …
interrelations between genotype, phenotype, and external environment. The recent …
A deep learning-based multi-model ensemble method for cancer prediction
Abstract Background and Objective: Cancer is a complex worldwide health problem
associated with high mortality. With the rapid development of the high-throughput …
associated with high mortality. With the rapid development of the high-throughput …
Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm
PR Jeyaraj, ER Samuel Nadar - Journal of cancer research and clinical …, 2019 - Springer
Purpose Oral cancer is a complex wide spread cancer, which has high severity. Using
advanced technology and deep learning algorithm early detection and classification are …
advanced technology and deep learning algorithm early detection and classification are …
An improved breast cancer disease prediction system using ML and PCA
Computer-aided diagnosis (CAD) systems based on machine learning (ML) techniques
have altered the field of medical research. The deployement of such models to classify …
have altered the field of medical research. The deployement of such models to classify …
Obesity, diabetes and the risk of colorectal adenoma and cancer
Background Colorectal cancer (CRC) is the fourth most commonly diagnosed
gastrointestinal (GI) malignancy and the third leading cause of cancer-related death …
gastrointestinal (GI) malignancy and the third leading cause of cancer-related death …
Cancer diagnosis using generative adversarial networks based on deep learning from imbalanced data
Background and objective Cancer is a serious global disease due to its high mortality, and
the key to effective treatment is accurate diagnosis. However, limited by sampling difficulty …
the key to effective treatment is accurate diagnosis. However, limited by sampling difficulty …
[HTML][HTML] Integrating molecular perspectives: strategies for comprehensive multi-omics integrative data analysis and machine learning applications in transcriptomics …
Simple Summary Recent high-throughput technologies such as transcriptomics, proteomics,
and metabolomics have allowed progress in understanding biological systems at different …
and metabolomics have allowed progress in understanding biological systems at different …
[HTML][HTML] Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search …
For each cancer type, only a few genes are informative. Due to the so-called 'curse of
dimensionality'problem, the gene selection task remains a challenge. To overcome this …
dimensionality'problem, the gene selection task remains a challenge. To overcome this …
Computer‐Aided Diagnosis of Parkinson's Disease Using Complex‐Valued Neural Networks and mRMR Feature Selection Algorithm
Parkinson's disease (PD) is a neurological disorder which has a significant social and
economic impact. PD is diagnosed by clinical observation and evaluations, coupled with a …
economic impact. PD is diagnosed by clinical observation and evaluations, coupled with a …