K. Sekaran

发表

Molecular modeling of C1‐inhibitor as SARS‐CoV‐2 target identified from the immune signatures of multiple tissues: An integrated bioinformatics study

C. George Priya Doss, G. Karthik, R. Gnanasambandan, 2022, Cell biochemistry and function.

Interpreting the Factors of Employee Attrition using Explainable AI

S. S., K. Sekaran, 2022, 2022 International Conference on Decision Aid Sciences and Applications (DASA).

Unraveling the Dysbiosis of Vaginal Microbiome to Understand Cervical Cancer Disease Etiology—An Explainable AI Approach

H. Zayed, A. Alsamman, Achraf El Allali, 2023, Genes.

A systematic review of artificial intelligence-based COVID-19 modeling on multimodal genetic information

C. George Priya Doss, R. Iyyadurai, Ramkumar Thirunavukarasu, 2023, Progress in Biophysics and Molecular Biology.

Bioinformatics investigation on blood-based gene expressions of Alzheimer's disease revealed ORAI2 gene biomarker susceptibility: An explainable artificial intelligence-based approach

H. Zayed, C. George Priya Doss, A. Alsamman, 2023, Metabolic Brain Disease.

In-silico network pharmacology study on Glycyrrhiza glabra: Analyzing the immune-boosting phytochemical properties of Siddha medicinal plant against COVID-19

C. George Priya Doss, R. Varghese, P. Doss, 2023, Advances in Protein Chemistry and Structural Biology.

Predicting bipolar disorder and schizophrenia based on non-overlapping genetic phenotypes using deep neural network

M. Sudha, S. Karthik, M. Sudha, 2020, Evol. Intell..

Predicting drug responsiveness with deep learning from the effects on gene expression of Obsessive-Compulsive Disorder affected cases

M. Sudha, Karthik Sekaran, M. Sudha, 2020, Comput. Commun..

Single-cell transcriptomic analysis reveals crucial oncogenic signatures and its associative cell types involved in gastric cancer

H. Zayed, C. George Priya Doss, Achraf El Allali, 2023, Medical Oncology.

Predicting rheumatoid arthritis from the biomarkers of clinical trials using improved harmony search optimization with adaptive neuro-fuzzy inference system

V. Sugumaran, A. Thangavelu, Shanmugam Sundaramurthy, 2022, J. Intell. Fuzzy Syst..

Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions

H. Zayed, A. Alsamman, K. Sekaran, 2023, Metabolic brain disease.

Electronic Pump Control and Benchmarking of Simulation Tools : AMESim and GT Suite

Karthik Sekaran, Dawn Joy, K. Sekaran, 2011 .

Predicting autism spectrum disorder from associative genetic markers of phenotypic groups using machine learning

M. Sudha, Karthik Sekaran, M. Sudha, 2020, Journal of Ambient Intelligence and Humanized Computing.

Personalized Content Extraction and Text Classification Using Effective Web Scraping Techniques

T. Karthikeyan, D. Ranjith, Karthik Sekaran, 2019, Int. J. Web Portals.

Airway and Oral microbiome profiling of SARS-CoV-2 infected asthma and non-asthma cases revealing alterations–A pulmonary microbial investigation

H. Zayed, A. Alsamman, Achraf El Allali, 2023, PloS one.