AS
Dr. Anju Sharma
National Institute of Pharmaceutical Education and Research, Amity University, Indian Institute of Information Technology Allahabad, Centre for Development of Advanced Computing - Mohali
0000-0002-3727-5329
Employment
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National Institute of Pharmaceutical Education and Research Women in Science and Engineering (WISE)-PDF2025 - Present
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National Institute of Pharmaceutical Education and Research National Post Doctoral Fellow (NPDF)2023 - 2025
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Amity University Assistant Professor2010 - 2017
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National Institute of Pharmaceutical Education and Research Junior Research Fellow2010 - 2010
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Centre for Development of Advanced Computing - Mohali Assistant Project Associate2007 - 2008
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National Institute of Technology Project Fellow2007 - 2007
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Singhania University Lecturer2006 - 2007
Education
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Indian Institute of Information Technology Allahabad M.Tech (IT) Specialization: Bioinformatics2008 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (62)
- Graph-Based Classification with GNN-Explainer for Predicting Cardiac Toxicity Associated with Multi-Ion Channel Blockers Save
- Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN Save
- Carbon Credits and Ecosystem Service Valuation as Economic Pathways for Sustainable Agriculture and Rural Livelihood Enhancement Save
- Diagnosing Respiratory Variability: Convolutional Neural Networks for Chest X-ray Classification Across Diverse Pulmonary Conditions Save
- Enzyme classification integrating LSTM and Prot-BERT sequence encoding Save
- Integrative bioinformatics, statistical, and survival analysis reveals potential molecular biomarkers of ovarian cancer Save
- OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands Save
- Proteintox: A multifaceted machine learning strategy for identifying cardiotoxic, neurotoxic, and enterotoxic proteins Save
- TNFipred: a classification model to predict TNF-α inhibitors Save
- XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm Save