Journals

1. Chowdhury, H. A., Bhattacharyya, D. K., & Kalita, J. K. (2022). UIPBC: An Effective Clustering for scRNA-seq Data Analysis without User Input. Knowledge-Based Systems, 248, 108767. DOI: 1016/j.knosys.2022.108767, ISSN: 0950-7051
2. Chowdhury, H. A.,Bhattacharyya, D. K., & Kalita, J. K. (2021). UICPC: Centrality-based Clustering for scRNA-seq Data Analysis without User Input. Computers in Biology and Medicine, 104820. DOI: 1016/j.compbiomed.2021.104820, ISSN: 0010-4825
3. Chowdhury, H. A.,Bhattacharyya, D. K., & Kalita, J. K. (2021). UIFDBC: Effective density based clustering to find clusters of arbitrary shapes without user input. Expert Systems with Applications, 115746. DOI: 1016/j.eswa.2021.115746, ISSN: 0957-4174
4. Chowdhury, H. A.,Barah, P., Bhattacharyya, D. K., & Kalita, J. K. (2021). Identification of potential Parkinson’s disease biomarkers using computational biology approaches. Network Modeling Analysis in Health Informatics and Bioinformatics, 10(1), 1-16. 1007/s13721-020-00280-5, ISSN: 2192-6670
5. Chowdhury, H. A., Bhattacharyya, D. K., & Kalita, J. K. (2020a). (Differential) Co-Expression Analysis of Gene Expression: A Survey of Best Practices. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(4), 1154–1173. DOI: 1109/TCBB.2019.2893170, ISSN: 1557-9964
6. Chowdhury, H. A., Bhattacharyya, D. K., & Kalita, J. K. (2020b). Differential Expression Analysis of RNA-seq Reads: Overview, Taxonomy, and Tools. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(2), 566–586. DOI: 1109/TCBB.2019.2893170, ISSN: 1557-9964
7. Sahu, A.,Chowdhury, H. A. et al. (2020). Integrative Network Analysis Identifies Differential Regulation of Neuroimmune System in Schizophrenia and Bipolar Disorder. Brain, Behavior, & Immunity-Health, 2, 100023. DOI: 1016/j.bbih.2019.100023, ISSN 2666-3546

Conferences

1. Chowdhury, H. A.(2021). Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 18, pp. 15710-15711). https://doi.org/10.1609/aaai.v35i18.17852. ISSN 2374-3468
2. Chowdhury, H. A., & Bhattacharyya, D. K. (2017). mRMR+: An Effective Feature Selection Algorithm for Classification. In International Conference on Pattern Recognition and Machine Intelligence (pp. 424–430). Springer. DOI: 1007/978-3-319-69900-4_54, ISBN978-3-319-69900-4
3. Chowdhury, H. A., Ahmed, H. A., Bhattacharyya, D. K., & Kalita, J. K. (2020). NCBI: A Novel Correlation Based Imputing Technique Using Biclustering. In Computational Intelligence in Pattern Recognition (pp. 509–519). Springer. DOI: 1007/978-981-13-9042-5_43, ISBN978-981-13-9042-5