ORCID as entered in ROS

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2022, Fotomics: Fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles, http://dx.doi.org/10.1101/2022.07.08.499309
,2022, Pan-cancer Analyses reveal functional similarities of three lncRNAs across multiple tumors, http://dx.doi.org/10.1101/2022.03.14.22272396
,2021, An Update on Novel Approaches for Diagnosis and Treatment of SARS-CoV-2 Infection, http://dx.doi.org/10.31219/osf.io/xg6z5
,2021, COVIDSpread: real-time prediction of COVID-19 spread based on time-series modelling, http://dx.doi.org/10.12688/f1000research.73969.1
,2020, An Integrative Resource for Network-Based Investigation of COVID-19 Combinatorial Drug Repositioning and Mechanism of Action, http://dx.doi.org/10.26434/chemrxiv.13271096
,2020, Lipidome profiles of plasma microvesicles differ in experimental cerebral malaria, compared to malaria without neurological complications, http://dx.doi.org/10.1101/2020.07.28.224170
,2020, A Comprehensive Integrated Drug Similarity Resource for In-Silico Drug Repositioning and Beyond, http://dx.doi.org/10.26434/chemrxiv.12376505.v1
,2020, A Comprehensive Integrated Drug Similarity Resource for In-Silico Drug Repositioning and Beyond, http://dx.doi.org/10.26434/chemrxiv.12376505
,2020, Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models, http://dx.doi.org/10.48550/arxiv.2005.12270
,2020, Real-time time-series modelling for prediction of COVID-19 spread and intervention assessment, http://dx.doi.org/10.1101/2020.04.24.20078923
,2020, Supervised Application of Internal Validation Measures to Benchmark Dimensionality Reduction Methods in scRNA-seq Data, http://dx.doi.org/10.1101/2020.10.29.361451
,2018, CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes, http://dx.doi.org/10.1101/424960
,2018, Deep sequencing of circulating exosomal microRNA allows non-invasive glioblastoma diagnosis, http://dx.doi.org/10.1101/342154
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