Prateek Singh

Leveraging Machine Learning and Self-Administered Tests to Predict Covid-19: an Olfactory and Gustatory Dysfunction Assessment Through Crowdsourced Data in India

Ritesh Kumar, Maneet Singh, Prateek Singh, Valentina Parma +16 more

20212025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)0 citations Open access

Semantic Scholar

Prateek Singh

Most-cited papers

Integrated genomic view of SARS-CoV-2 in India

Telomere repeat–binding factor 2 binds extensively to extra-telomeric G-quadruplexes and regulates the epigenetic status of several gene promoters

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys

Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays

High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge

VitiVar: A locus specific database of vitiligo associated genes and variations

Single-cell profiling of the lung immune cells of diabetes-tuberculosis comorbidity reveals reduced type-II interferon and elevated Th17 responses

PgxSAVy: A tool for comprehensive evaluation of variant peptide quality in proteogenomics – catching the (un)usual suspects

A machine learning-based approach to determine infection status in recipients of BBV152 whole virion inactivated SARS-CoV-2 vaccine for serological surveys

Leveraging Machine Learning and Self-Administered Tests to Predict Covid-19: an Olfactory and Gustatory Dysfunction Assessment Through Crowdsourced Data in India

VitiVar: A locus specific database of vitiligo associated genes and variations.

FragSTR: open-source STR marker analysis