[HTML][HTML] Microarray cancer feature selection: Review, challenges and research directions

MA Hambali, TO Oladele, KS Adewole - International Journal of Cognitive …, 2020 - Elsevier
Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …

Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data

P Li, Y Piao, HS Shon, KH Ryu - BMC bioinformatics, 2015 - Springer
Background Recently, rapid improvements in technology and decrease in sequencing costs
have made RNA-Seq a widely used technique to quantify gene expression levels. Various …

MicroRNA-449a enhances radiosensitivity by downregulation of c-Myc in prostate cancer cells

A Mao, Q Zhao, X Zhou, C Sun, J Si, R Zhou, L Gan… - Scientific reports, 2016 - nature.com
MicroRNAs (miRNAs) have been reported to be involved in DNA damage response induced
by ionizing radiation (IR). c-Myc is reduced when cells treated with IR or other DNA …

Class-incremental learning with deep generative feature replay for DNA methylation-based cancer classification

E Batbaatar, KH Park, T Amarbayasgalan… - IEEE …, 2020 - ieeexplore.ieee.org
Developing lifelong learning algorithms are mandatory for computational systems biology.
Recently, many studies have shown how to extract biologically relevant information from …

Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature

S Gupta, A Sharaff, NK Nagwani - Multimedia Tools and Applications, 2024 - Springer
Abstract The ever-growing 1.15 million new cases of cancer on a yearly basis alone in India
is a major cause of concern for the experts and researchers working in various biomedical …

Identification of miRNA biomarkers for diverse cancer types using statistical learning methods at the whole-genome scale

JP Sarkar, I Saha, A Lancucki, N Ghosh… - Frontiers in …, 2020 - frontiersin.org
Genome-wide analysis of miRNA molecules can reveal important information for
understanding the biology of cancer. Typically, miRNAs are used as features in statistical …

Stacked feature selection and C5. 0 classification model with Tsallis entropy for medical dataset

KV Uma, PJ Padmaja, D Vinoodhini - Journal of Pharmaceutical …, 2022 - pnrjournal.com
Feature selection is considered to be one of the important tasks in data mining. It identifies
the subset of features from the dataset that are best related to the response variable. Here …

[HTML][HTML] A comparative analytical assay of gene regulatory networks inferred using microarray and RNA-seq datasets

F Izadi, HN Zarrini, G Kiani, NB Jelodar - Bioinformation, 2016 - ncbi.nlm.nih.gov
Abstract A Gene Regulatory Network (GRN) is a collection of interactions between molecular
regulators and their targets in cells governing gene expression level. Omics data explosion …

Multi-task topic analysis framework for hallmarks of cancer with weak supervision

E Batbaatar, VH Pham, KH Ryu - Applied Sciences, 2020 - mdpi.com
The hallmarks of cancer represent an essential concept for discovering novel knowledge
about cancer and for extracting the complexity of cancer. Due to the lack of topic analysis …

[PDF][PDF] International Journal of Cognitive Computing in Engineering

MA Hambali, TO Oladele, KS Adewole - academia.edu
abstract Microarray technology has become an emerging trend in the domain of genetic
research in which many researchers employ to study and investigate the levels of genes' …