A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods von Wassan, Jyotsna Talreja, Wang, Haiying, Browne, Fiona, Zheng, Huiru

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Role of Deep Learning in Predicting Aging-Related Diseases: A Scoping Review von Wassan, Jyotsna Talreja, Zheng, Huiru, Wang, Haiying

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Analyzing the Effect of Environmental and Demographic Factors on COVID-19 Spread in India Using Statistical Methods: A Case Study von Ghuriani, Veena, Talreja Wassan, Jyotsna

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Discovering Big Data Modelling for Educational World von Wassan, Jyotsna Talreja

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Analyzing Large Microbiome Datasets Using Machine Learning and Big Data von Krause, Thomas, Wassan, Jyotsna Talreja, Mc Kevitt, Paul, Wang, Haiying, Zheng, Huiru, Hemmje, Matthias

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An Integrative Approach Towards Recommending Farming Solutions for Sustainable Agriculture von Ghuriani, Veena, Wassan, Jyotsna Talreja, Deolal, Pragya, Sharma, Vidushi, Dalal, Dimpy, Goyal, Aditi

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Modelling Stack Framework for Accessing Electronic Health Records with Big Data Needs von Wassan, Jyotsna Talreja

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Exploratory Implementation of Stream Clustering Algorithm using MongoDB von Wassan, Jyotsna Talreja

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An Integrative Approach for the Functional Analysis of Metagenomic Studies von Wassan, Jyotsna Talreja, Wang, Haiying, Browne, Fiona, Wash, Paul, Kelly, Brain, Palu, Cintia, Konstantinidou, Nina, Roehe, Rainer, Dewhurst, Richard, Zheng, Huiru

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Developing a new Phylogeny-driven Random Forest Model for Functional Metagenomics von Wassan, Jyotsna Talreja, Wang, Haiying, Zheng, Huiru

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Big Data Paradigm for Healthcare Sector von Aggarwal, Anil

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Phy-PMRFI: Phylogeny-Aware Prediction of Metagenomic Functions Using Random Forest Feature Importance von Wassan, Jyotsna Talreja, Wang, Haiying, Browne, Fiona, Zheng, Huiru

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