[HTML][HTML] Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data
Microarrays have revolutionized genomics by enabling the simultaneous measurement of
thousands of gene expressions. However, the high dimensionality of microarray data poses …
thousands of gene expressions. However, the high dimensionality of microarray data poses …
Research initiative on sustainable education system: Model of balancing green computing and ict in quality education
Green Computing Practices (GCP) convey the revolutionary changes of the modern
education system. The education system is transforming into a hybrid mode of operations in …
education system. The education system is transforming into a hybrid mode of operations in …
A proficient two stage model for identification of promising gene subset and accurate cancer classification
Over the past few decades, there has been a massive growth in the volume of biological
data. In such datasets, the influence of dimensionality bias or existence of repetitive, noisy …
data. In such datasets, the influence of dimensionality bias or existence of repetitive, noisy …
[HTML][HTML] Interplay of machine learning and bioinformatics approaches to identify genetic biomarkers that affect survival of patients with glioblastoma
Glioblastoma, also known as grade IV astrocytoma, is an aggressive and quickly develo**
brain tumor whose median survival period is believed to be between 12 and 18 months …
brain tumor whose median survival period is believed to be between 12 and 18 months …
Identification of Influential Genes for Colorectal Cancer Using Machine Learning Approaches
The most malignant tumor of the large intestine is colorectal cancer (CRC), initially, some
polyps grow inside the intestine and become CRC with the flow of time. In the case of …
polyps grow inside the intestine and become CRC with the flow of time. In the case of …
An optimize gene selection approach for cancer classification using hybrid feature selection methods
S Dass, S Mistry, P Sarkar, P Paik - International conference on advanced …, 2021 - Springer
In the field of diseases diagnosis and treatment, microarray gene expression data plays a
crucial role. But for analysis, expression data are available with a huge number of genes in …
crucial role. But for analysis, expression data are available with a huge number of genes in …
Statistical and Bioinformatics Model to Identify the Influential Genes and Comorbidities of Glioblastoma
Glioblastoma (GBM) is the most common fatal cancer whose median survival time is
estimated to be 12 to 18 months. GBM occurs in the frontal and temporal lobes of the brain …
estimated to be 12 to 18 months. GBM occurs in the frontal and temporal lobes of the brain …
A Model for Lung Cancer Prediction
F Khan, K Pradhan, D Sinha - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Prevention is always a better option than cure, especially when it comes to deadly disease
like cancer. According to the latest reports by the International Agency for Research on …
like cancer. According to the latest reports by the International Agency for Research on …
[PDF][PDF] Identification of Influential Genes and Comorbidities of Colorectal Cancer
MH Sumon, NJ Rinvi - academia.edu
Colorectal Cancer (CRC) is the most malignant tumor of the large intestine. In the beginning,
some noncancerous clumps of cells called polyps grow inside the intestine and over the …
some noncancerous clumps of cells called polyps grow inside the intestine and over the …