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 …
[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 …
A stacking ensemble deep learning approach to cancer type classification based on TCGA data
Cancer tumor classification based on morphological characteristics alone has been shown
to have serious limitations. Breast, lung, colorectal, thyroid, and ovarian are the most …
to have serious limitations. Breast, lung, colorectal, thyroid, and ovarian are the most …
Framework for detecting breast cancer risk presence using deep learning
Cancer is a complicated global health concern with a significant fatality rate. Breast cancer is
among the leading causes of mortality each year. Advancements in prognoses have been …
among the leading causes of mortality each year. Advancements in prognoses have been …
A machine learning method for classification of cervical cancer
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in develo** countries. There are …
worldwide and more than 85% of these deaths are in develo** countries. There are …
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
Artificial intelligence (AI) has played a significant role in image analysis and feature
extraction, applied to detect and diagnose a wide range of chest-related diseases. Although …
extraction, applied to detect and diagnose a wide range of chest-related diseases. Although …
A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection
Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …
Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets
Cancer is considered a leading cause of mortality in both developed and develo**
countries. Cancer classification based on the microarray dataset has provided insight into …
countries. Cancer classification based on the microarray dataset has provided insight into …
Optimized gene selection and classification of cancer from microarray gene expression data using deep learning
Cancer is the major leading reason of death around the world. However, the early
identification and prediction of a cancer type is very critical for patient's health. Recently …
identification and prediction of a cancer type is very critical for patient's health. Recently …
A new fuzzy-based classification method for use in smart/precision medicine
E Zaitseva, V Levashenko, J Rabcan, M Kvassay - Bioengineering, 2023 - mdpi.com
The development of information technology has had a significant impact on various areas of
human activity, including medicine. It has led to the emergence of the phenomenon of …
human activity, including medicine. It has led to the emergence of the phenomenon of …