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[HTML][HTML] Applying a recurrent neural network-based deep learning model for gene expression data classification
The importance of gene expression data processing in solving the classification task is
determined by its ability to discern intricate patterns and relationships within genetic …
determined by its ability to discern intricate patterns and relationships within genetic …
Cancer classification using RNA sequencing gene expression data based on Game Shapley local search embedded binary social ski-driver optimization algorithms
Cancer remains a significant health concern due to its high mortality rates. Recent decades
have witnessed substantial progress in cancer research, driven by advancements in high …
have witnessed substantial progress in cancer research, driven by advancements in high …
Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach
Breast cancer remains a major public health challenge worldwide. The identification of
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …
Advancing breast ultrasound diagnostics through hybrid deep learning models
Today, doctors rely heavily on medical imaging to identify abnormalities. Proper
classification of these abnormalities enables them to take informed actions, leading to early …
classification of these abnormalities enables them to take informed actions, leading to early …
Cancer miRNA biomarker classification based on syntax-guided hierarchical attention network optimized with Golden Jackal optimization algorithm
MicroRNAs (miRNAs) are integral components of genomic data, offering valuable insights
into genome sequences. Existing studies have faced challenges in achieving desired …
into genome sequences. Existing studies have faced challenges in achieving desired …
Hybrid arithmetic optimization algorithm with deep transfer learning based microarray gene expression classification model
BS Gowri, SAH Nair, KPS Kumar - International Journal of Information …, 2024 - Springer
Microarray gene expression (MGE) data classification is a vital challenge in biomedical and
genomics research, designed to understand the difficult relations among genes and …
genomics research, designed to understand the difficult relations among genes and …
Breast mass density categorisation using deep transferred EfficientNet with support vector machines
Breast carcinoma or breast cancer is the most common type of cancer in women. It is very
dangerous, and early detection is important for proper diagnosis and reduction of mortality …
dangerous, and early detection is important for proper diagnosis and reduction of mortality …
SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images
S Wang, Y Liu, H Zhang, Z Liu - BMC bioinformatics, 2024 - Springer
Cancer is one of the leading causes of deaths worldwide. Survival analysis and prediction of
cancer patients is of great significance for their precision medicine. The robustness and …
cancer patients is of great significance for their precision medicine. The robustness and …
Optimasi Convolutional Neural Networks untuk Deteksi Kanker Payudara menggunakan Arsitektur DenseNet
RA Mas' ud, J Zeniarja - Edumatic: Jurnal Pendidikan …, 2024 - e-journal.hamzanwadi.ac.id
Kanker payudara adalah penyakit yang umumnya diderita oleh perempuan di seluruh
dunia, menempati peringkat kedua sebagai penyakit terbesar. Dalam menghadapi …
dunia, menempati peringkat kedua sebagai penyakit terbesar. Dalam menghadapi …
[HTML][HTML] A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method
SH Ali, M Shehata - Bioengineering, 2024 - mdpi.com
Annually, many people worldwide lose their lives due to breast cancer, making it one of the
most prevalent cancers in the world. Since the disease is becoming more common, early …
most prevalent cancers in the world. Since the disease is becoming more common, early …