DS
Dr. Adiba Sultana
Guangdong Provincial People's Hospital, National University of Singapore, Soochow University
0000-0002-4814-0753
About
My research interests encompass bioinformatics with a focus on single-cell RNA sequencing, bulk RNA sequencing, and microarray-based cancer gene expression analysis. I am particularly interested in molecular signature identification, precision medicine, and drug repositioning strategies. Additionally, I work on statistical modeling, multivariate statistical techniques, and the application of machine learning and artificial intelligence across diverse biomedical and clinical domains.
Employment
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Guangdong Provincial People's Hospital Postdoctoral Fellow2023 - 2025
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National University of Singapore Postdoctoral Fellow2022 - 2023
Education
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Soochow University P.hD.2017 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Corrigendum to “Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing” [Comput. Biol. Med. 187 (2025) 109744] (Computers in Biology and Medicine… Save
- Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing Save
- An immunoinformatics approach for a potential NY-ESO-1 and WT1 based multi-epitope vaccine designing against triple-negative breast cancer Save
- An integrated bioinformatics approach to early diagnosis, prognosis and therapeutics of non-small-cell lung cancer Save
- Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer Save
- Single-cell RNA-seq analysis to identify potential biomarkers for diagnosis, and prognosis of non-small cell lung cancer by using comprehensive bioinformatics approaches Save
- Bioinformatics and network-based screening and discovery of potential molecular targets and small molecular drugs for breast cancer Save
- Gene expression profile analysis to discover molecular signatures for early diagnosis and therapies of triple-negative breast cancer Save
- Integrated bioinformatics and statistical approaches to explore molecular biomarkers for breast cancer diagnosis, prognosis and therapies Save
- Statistics and network-based approaches to identify molecular mechanisms that drive the progression of breast cancer Save