| Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning E Potash, J Brew, A Loewi, S Majumdar, A Reece, J Walsh, E Rozier, ... 21st ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2015 | 37 | 2015 |
| Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates BA Han, S Majumdar, FP Calmon, BS Glicksberg, R Horesh, A Kumar, ... Epidemics 27, 59-65, 2019 | 16 | 2019 |
| Computer-Assisted and Data Driven Approaches for Surveillance, Drug Discovery, and Vaccine Design for the Zika Virus SC Basak, S Majumdar, A Nandy, P Roy, T Dutta, M Vracko, ... Pharmaceuticals 12 (4), 157, 2019 | 13 | 2019 |
| Beware of external validation!-A Comparative Study of Several Validation Techniques used in QSAR Modelling S Majumdar, SC Basak Current computer-aided drug design 14 (4), 284-291, 2018 | 13 | 2018 |
| Adapting Interrelated Two-Way Clustering Method for Quantitative Structure-Activity Relationship (QSAR) Modeling of Mutagenicity/Non-Mutagenicity of a Diverse Set of Chemicals S Majumdar, S C Basak, G D Grunwald Current computer-aided drug design 9 (4), 463-471, 2013 | 10 | 2013 |
| Exploring intrinsic dimensionality of chemical spaces for robust QSAR model development: A comparison of several statistical approaches S Majumdar, S C Basak Current Computer-Aided Drug Design 12 (4), 294-301, 2016 | 9 | 2016 |
| Mathematical structural descriptors and mutagenicity assessment: a study with congeneric and diverse datasets S Majumdar, SC Basak, CN Lungu, MV Diudea, GD Grunwald SAR and QSAR in Environmental Research 29 (8), 579-590, 2018 | 8 | 2018 |
| Prediction of Mutagenicity of Chemicals from Their Calculated Molecular Descriptors: A Case Study with Structurally Homogeneous versus Diverse Datasets SC Basak, S Majumdar Current computer-aided drug design 11 (2), 117-123, 2015 | 8 | 2015 |
| Editorial: The Importance of Rigorous Statistical Practice in the Current Landscape of QSAR Modelling S C Basak, S Majumdar Current computer-aided drug design 11 (1), 2-4, 2015 | 8 | 2015 |
| Current landscape of hierarchical QSAR modeling and its applications: Some comments on the importance of mathematical descriptors as well as rigorous statistical methods of … SC Basak, S Majumdar Advances in mathematical chemistry and applications, 251-281, 2015 | 5 | 2015 |
| A Generic Computer-Assisted Four-Pronged Approach for the Management of Emerging Global Pathogens: Some Comments on COVID-19 SC Basak, S Majumdar, M Vracko, A Nandy, A Bhattacharjee Current computer-aided drug design 16 (4), 351-353, 2020 | 4 | 2020 |
| Ultrahigh-dimensional Robust and Efficient Sparse Regression using Non-Concave Penalized Density Power Divergence A Ghosh, S Majumdar IEEE Transactions on Information Theory 66 (12), 7812-7827, 2020 | 4 | 2020 |
| Finding Needles in a Haystack: Determining Key Molecular Descriptors Associated with the Blood‐brain Barrier Entry of Chemical Compounds Using Machine Learning S Majumdar, SC Basak, CN Lungu, MV Diudea, GD Grunwald Molecular informatics 38 (8-9), 1800164, 2019 | 4 | 2019 |
| Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models S Majumdar, G Michailidis arXiv preprint arXiv:1803.03348, 2018 | 4 | 2018 |
| Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs RM Rustamov, S Majumdar arXiv preprint arXiv:2010.15285, 2020 | 3 | 2020 |
| Editorial: Beware of Naïve q2, use True q2: Some Comments on QSAR Model Building and Cross Validation S Majumdar, SC Basak Current Computer-Aided Drug Design 14 (1), 5-6, 2018 | 3 | 2018 |
| Non-convex penalized multitask regression using data depth-based penalties S Majumdar, S Chatterjee Stat 7, e174, 2018 | 3 | 2018 |
| Hierarchical quantitative structure-activity relationships (HiQSARs) for the prediction of physicochemical and toxicological properties of chemicals using computed molecular … SC Basak, S Majumdar Mol2Net Conference, 2015 | 2 | 2015 |
| Robust estimation of principal components from depth-based multivariate rank covariance matrix S Majumdar arXiv preprint arXiv:1502.07042, 2015 | 2 | 2015 |
| Novel computational approaches to developing potential STAT4 silencing siRNAs for immunomodulation of atherosclerosis SP Fookolaee, S Karkhah, M Saadi, S Majumdar, A Karkhah Current computer-aided drug design 16 (5), 599-604, 2020 | 1 | 2020 |
Subhash BasakUniversity of Minnesota DuluthVerified email at d.umn.edu
