Soumita Seth
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View article: A Computational Intelligence based Early Diagnosis of Asthma Disease: A Saudi Arabian Case Study
A Computational Intelligence based Early Diagnosis of Asthma Disease: A Saudi Arabian Case Study Open
According to recent research, an increase in chronic diseases including Asthma has been identified. The number of Asthma patients in the Kingdom of Saudi Arabia is a cause for concern due to the weather conditions and lifestyle especially …
View article: Principal Component Analysis Based Clustering of Insecticides and Molecular Docking of Pyrethroids Insecticides
Principal Component Analysis Based Clustering of Insecticides and Molecular Docking of Pyrethroids Insecticides Open
Background: Insecticides are the chemical substances used to control pest in agriculture and domestic purpose, structural variations among insecticides leads to the change in the safety profile and application, in silico molecular docking …
View article: Evaluation of pre-analytical errors using six sigma metrics towards quality of laboratory performance in an Indian tertiary care hospital
Evaluation of pre-analytical errors using six sigma metrics towards quality of laboratory performance in an Indian tertiary care hospital Open
Six Sigma methodologies is one of the standard management system adopted to check the quality and improve laboratory performance continuously by assessing the laboratory process using six sigma metrics. A one-year prospective study from Ja…
View article: LASSO Based Analysis for Prediction of Prognostic Signature Genes Associated with Breast Cancer
LASSO Based Analysis for Prediction of Prognostic Signature Genes Associated with Breast Cancer Open
Background Cancer is a genetic disease, where gene alterations play a significant role in the disease onset and pathogenesis. Analysis of the underlying gene interaction pathways could reveal new biomarkers and could also potentially help …
View article: Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering
Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering Open
In this current era, the identification of both known and novel cell types, the representation of cells, predicting cell fates, classifying various tumor types, and studying heterogeneity in various cells are the key areas of interest in t…
View article: Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data
Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data Open
Introduction: Association rule mining (ARM) is a powerful tool for exploring the informative relationships among multiple items (genes) in any dataset. The main problem of ARM is that it generates many rules containing different rule-infor…
View article: Feature Selection, Clustering, and IoMT on Biomedical Engineering for COVID-19 Pandemic: A Comprehensive Review
Feature Selection, Clustering, and IoMT on Biomedical Engineering for COVID-19 Pandemic: A Comprehensive Review Open
In this era, feature clustering is a prominent technique in data mining. Feature clustering has also huge applications in biomedical research for multiple purposes including grouping, feature reduction, and many more. The Internet of Medic…
View article: 616 Addressing Challenges to Enable Better Use of Routinely Collected Clinical Photographs: Evaluating the Largest Cleft Dataset for Machine Learning Analysis
616 Addressing Challenges to Enable Better Use of Routinely Collected Clinical Photographs: Evaluating the Largest Cleft Dataset for Machine Learning Analysis Open
Aim Orofacial clefts are the most common congenital anomaly to affect the craniofacial region. Surgical repair is usually performed in infancy; however, there are concerning inequalities in access to and quality of surgical care. Scoring a…
View article: Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data
Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data Open
The major interest domains of single-cell RNA sequential analysis are identification of existing and novel types of cells, depiction of cells, cell fate prediction, classification of several types of tumor, and investigation of heterogenei…
View article: A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data
A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data Open
DNA methylation change has been useful for cancer biomarker discovery, classification, and potential treatment development. So far, existing methods use either differentially methylated CpG sites or combined CpG sites, namely differentiall…