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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 …
Artificial intelligence with temporal features outperforms machine learning in predicting diabetes
Diabetes mellitus type 2 is increasingly being called a modern preventable pandemic, as
even with excellent available treatments, the rate of complications of diabetes is rapidly …
even with excellent available treatments, the rate of complications of diabetes is rapidly …
[HTML][HTML] Glycation-associated diabetic nephropathy and the role of long noncoding RNAs
The glycation of various biomolecules is the root cause of many pathological conditions
associated with diabetic nephropathy and end-stage kidney disease. Glycation imbalances …
associated with diabetic nephropathy and end-stage kidney disease. Glycation imbalances …
[HTML][HTML] Evaluation and exploration of machine learning and convolutional neural network classifiers in detection of lung cancer from microarray gene—a paradigm …
Microarray gene expression-based detection and classification of medical conditions have
been prominent in research studies over the past few decades. However, extracting relevant …
been prominent in research studies over the past few decades. However, extracting relevant …
Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio
Feature selection in high dimensional gene expression datasets not only reduces the
dimension of the data, but also the execution time and computational cost of the underlying …
dimension of the data, but also the execution time and computational cost of the underlying …
Gene expression and metadata based identification of key genes for hepatocellular carcinoma using machine learning and statistical models
Biomarkers associated with hepatocellular carcinoma (HCC) are of great importance to
better understand biological response mechanisms to internal or external intervention. The …
better understand biological response mechanisms to internal or external intervention. The …
[HTML][HTML] Artificial intelligence in lung cancer: current applications, future perspectives, and challenges
D Huang, Z Li, T Jiang, C Yang, N Li - Frontiers in Oncology, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This
comprehensive review examines the current applications and future prospects of AI in lung …
comprehensive review examines the current applications and future prospects of AI in lung …
Identification of vital genes for NSCLC integrating mutual information and synergy
X Yang, Z Mi, Q He, B Guo, Z Zheng - Mathematics, 2023 - mdpi.com
Lung cancer, amongst the fast growing malignant tumors, has become the leading cause of
cancer death, which deserves attention. From a prevention and treatment perspective …
cancer death, which deserves attention. From a prevention and treatment perspective …
[PDF][PDF] Classification of gene expression from rna-seq data for pancreatic cancer prognosis using ensemble learning
GJ Rao, AS Prasad - Journal of Applied Biology and …, 2024 - pdfs.semanticscholar.org
Gene expression analysis of transcriptomic data enables us to identify changes in gene
expression under some biological conditions. Ribonucleic acid (RNA) sequencing (RNA …
expression under some biological conditions. Ribonucleic acid (RNA) sequencing (RNA …
An Integrated Data Analysis Using Bioinformatics and Random Forest to Predict Prognosis of Patients with Squamous Cell Carcinoma
DVC Lima, P Terrematte, B Stransky, ADD Neto - IEEE Access, 2024 - ieeexplore.ieee.org
Lung cancer is the leading cause of cancer death worldwide, regardless of gender. Among
the types of lung cancer, Lung Squamous Cell Carcinoma (LUSC) is the second most …
the types of lung cancer, Lung Squamous Cell Carcinoma (LUSC) is the second most …