[HTML][HTML] 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] Deep learning techniques for cancer classification using microarray gene expression data
Cancer is one of the top causes of death globally. Recently, microarray gene expression
data has been used to aid in cancer's effective and early detection. The use of DNA …
data has been used to aid in cancer's effective and early detection. The use of DNA …
[HTML][HTML] A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Breast cancer is considered one of the significant health challenges and ranks among the
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
[HTML][HTML] Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …
into differentially expressed genes. However, it is challenging because of its high …
Predictive analytics on open big data for supporting smart transportation services
PPF Balbin, JCR Barker, CK Leung, M Tran… - Procedia computer …, 2020 - Elsevier
In the current era of big data, huge quantities of valuable data, which may be of different
levels of veracity, are being generated at a rapid rate. Embedded into these big data are …
levels of veracity, are being generated at a rapid rate. Embedded into these big data are …
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 …
Big data science on COVID-19 data
In the current era of big data, high volume of big data can be generated and collected from a
wide variety of rich data sources at a rapid rate. Embedded in these big data are useful …
wide variety of rich data sources at a rapid rate. Embedded in these big data are useful …
DeepGene transformer: Transformer for the gene expression-based classification of cancer subtypes
Cancer and its subtypes constitute approximately 30% of all causes of death globally and
display a wide range of heterogeneity in terms of clinical and molecular responses to …
display a wide range of heterogeneity in terms of clinical and molecular responses to …
Gene transformer: Transformers for the gene expression-based classification of lung cancer subtypes
Adenocarcinoma and squamous cell carcinoma constitute approximately 40% and 30% of
all lung cancer subtypes, respectively, and display broad heterogeneity in terms of clinical …
all lung cancer subtypes, respectively, and display broad heterogeneity in terms of clinical …
A big data science solution for analytics on moving objects
IM Anderson-Grégoire, KA Horner, CK Leung… - International Conference …, 2021 - Springer
Biodiversity data (eg, for aquatic organisms, marine creatures and terrestrial animals) and
environmental data (eg, air pollution statistics, water supply and sanitation information, soil …
environmental data (eg, air pollution statistics, water supply and sanitation information, soil …