A comprehensive survey on computational learning methods for analysis of gene expression data

N Bhandari, R Walambe, K Kotecha… - Frontiers in Molecular …, 2022 - frontiersin.org
Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …

Retracted article: a multimodal biometric authentication scheme based on feature fusion for improving security in cloud environment

T Joseph, SA Kalaiselvan, SU Aswathy… - Journal of Ambient …, 2021 - Springer
In recent days, due to the advent of advanced technologies such as cloud computing,
accessing data can be done anywhere at any time. Meanwhile, ensuring the data security is …

Early detection of Alzheimer's disease using single nucleotide polymorphisms analysis based on gradient boosting tree

H Ahmed, H Soliman, M Elmogy - Computers in Biology and Medicine, 2022 - Elsevier
Alzheimer's disease (AD) is a degenerative disorder that attacks nerve cells in the brain. AD
leads to memory loss and cognitive & intellectual impairments that can influence social …

PCA model for RNA-Seq malaria vector data classification using KNN and decision tree algorithm

MO Arowolo, M Adebiyi, A Adebiyi… - … and computer science …, 2020 - ieeexplore.ieee.org
Malaria parasites adopt unresolved discrepancy of life segments as they grow through
various mosquito vector stratospheres. Transcriptomes of thousands of individual parasites …

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

N Bhandari, S Khare, R Walambe, K Kotecha - PeerJ Computer Science, 2021 - peerj.com
Gene promoters are the key DNA regulatory elements positioned around the transcription
start sites and are responsible for regulating gene transcription process. Various alignment …

A hybrid heuristic dimensionality reduction methods for classifying malaria vector gene expression data

MO Arowolo, MO Adebiyi, AA Adebiyi… - IEEE Access, 2020 - ieeexplore.ieee.org
Malaria is the world's leading cause of death, spread by Anopheles mosquitoes. Gene
expression is a fundamental level where the effects of unseen vital revealing genes and …

A genetic algorithm for prediction of RNA-seq malaria vector gene expression data classification using SVM kernels

MO Adebiyi, MO Arowolo, O Olugbara - Bulletin of Electrical Engineering …, 2021 - beei.org
Malaria larvae embrace unpredictable variable life periods as they spread across many
stratospheres of the mosquito vectors. There are transcriptomes of a thousand distinct …

Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles

H Ahmed, L Alarabi, S El-Sappagh, H Soliman… - PeerJ Computer …, 2021 - peerj.com
Methods We used a methodology for literature surveys to obtain data from academic
databases. Criteria were defined for inclusion and exclusion. The selection of articles was …

An efficient PCA Ensemble learning approach for prediction of RNA-Seq malaria vector gene expression data classification

MO Arowolo, M Adebiyi… - International Journal of …, 2020 - eprints.lmu.edu.ng
Malaria parasites adopt outstanding variation of life phases as they evolve through manifold
mosquito vector atmospheres. Transcriptomes of thousands of individual parasites exists …

A genetic algorithm approach for predicting ribonucleic acid sequencing data classification using KNN and decision tree

MO Arowolo, MO Adebiyi… - … Electronics and Control), 2021 - telkomnika.uad.ac.id
Malaria larvae accept explosive variable lifecycle as they spread across numerous mosquito
vector stratosphere. Transcriptomes arise in thousands of diverse parasites. Ribonucleic …