Mining gene expression data using data mining techniques: A critical review
In the recent years, the emergence of data mining techniques in the research industries
makes it possible to extract valuable information from huge volume of data. Good …
makes it possible to extract valuable information from huge volume of data. Good …
Review paper on research direction towards cancer prediction and prognosis using machine learning and deep learning models
Cancer is characterized as a heterogeneous disease of various types. The early detection
and prognosis of a cancer type have turned into a major requirement, as it facilitates …
and prognosis of a cancer type have turned into a major requirement, as it facilitates …
A multi-objective heuristic algorithm for gene expression microarray data classification
Microarray data has significant potential in clinical medicine, which always owns a large
quantity of genes relative to the samples' number. Finding a subset of discriminatory genes …
quantity of genes relative to the samples' number. Finding a subset of discriminatory genes …
Effective Prostate Cancer Detection using Enhanced Particle Swarm Optimization Algorithm with Random Forest on the Microarray Data
S Prakashrao Kaulgud, V Hulipalled… - International journal of …, 2023 - hrcak.srce.hr
Sažetak Prostate Cancer (PC) is the leading cause of mortality among males, therefore an
effective system is required for identifying the sensitive bio-markers for early recognition. The …
effective system is required for identifying the sensitive bio-markers for early recognition. The …
Gseh: a novel approach to select prostate cancer-associated genes using gene expression heterogeneity
When a gene shows varying levels of expression among normal people but similar levels in
disease patients or shows similar levels of expression among normal people but different …
disease patients or shows similar levels of expression among normal people but different …