Machine learning for the advancement of genome-scale metabolic modeling

P Kundu, S Beura, S Mondal, AK Das, A Ghosh - Biotechnology Advances, 2024 - Elsevier
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

[HTML][HTML] Deep learning-based prediction of Alzheimer's disease using microarray gene expression data

MM Abdelwahab, KA Al-Karawi, HE Semary - Biomedicines, 2023 - mdpi.com
Alzheimer's disease is a genetically complex disorder, and microarray technology provides
valuable insights into it. However, the high dimensionality of microarray datasets and small …

Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data

DL Tong, AC Schierz - Artificial intelligence in medicine, 2011 - Elsevier
OBJECTIVE: Suitable techniques for microarray analysis have been widely researched,
particularly for the study of marker genes expressed to a specific type of cancer. Most of the …

[HTML][HTML] Towards knowledge-based gene expression data mining

R Bellazzi, B Zupan - Journal of biomedical informatics, 2007 - Elsevier
The field of gene expression data analysis has grown in the past few years from being
purely data-centric to integrative, aiming at complementing microarray analysis with data …

Multi-view feature selection for identifying gene markers: a diversified biological data driven approach

S Acharya, L Cui, Y Pan - BMC bioinformatics, 2020 - Springer
Background In recent years, to investigate challenging bioinformatics problems, the
utilization of multiple genomic and proteomic sources has become immensely popular …

An integrated model of clinical information and gene expression for prediction of survival in ovarian cancer patients

R Yang, J **ong, D Deng, Y Wang, H Liu, G Jiang… - Translational …, 2016 - Elsevier
Accumulating evidence shows that clinical factors alone are not adequate for predicting the
survival of patients with ovarian cancer (OvCa), and many genes have been found to be …

Identification and functional assessment of novel gene sets towards better understanding of dysplasia associated oral carcinogenesis

S Banerjee, A Anura, J Chakrabarty, S Sengupta… - Gene Reports, 2016 - Elsevier
Oral epithelial dysplasia (OED) often precedes oral cancer. Understanding the underlying
complex biological aspects of dysplasia associated oral carcinogenesis using important …

[PDF][PDF] Relational subgroup discovery for gene expression data mining

F Zelezný, J Tolar, N Lavrac, O Štepánková - 2005 - ida.felk.cvut.cz
We propose a methodology for predictive classification from gene expression data, able to
combine the robustness of highdimensional statistical classification methods with the …

Genetic algorithm-neural network: feature extraction for bioinformatics data.

DL Tong - 2010 - eprints.bournemouth.ac.uk
With the advance of gene expression data in the bioinformatics field, the questions which
frequently arise, for both computer and medical scientists, are which genes are significantly …