Ensemble techniques for predictive modeling of leishmanial activity via molecular fingerprints.
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| Title: | Ensemble techniques for predictive modeling of leishmanial activity via molecular fingerprints. |
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| Authors: | Nalband S; Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India., Kiratkar P; Department of Biology, Indian Institute of Science Education and Research, Pune, Maharashtra, India., Gupta M; Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India., Gambhir M; Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, Punjab, India., Sonam S; School of Biosciences and Bioengineering, D Y Patil International University, Akurdi, Pune, Maharashtra, India., Robert F; Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India., Prince AA; Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, K K Birla Goa Campus, Zuarinagar, Sancoale, Goa, 403726, India. amalinprince@goa.bits-pilani.ac.in. |
| Source: | BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Oct 14; Vol. 25 (1), pp. 378. Date of Electronic Publication: 2025 Oct 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1472-6947 |
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| DOI: | 10.1186/s12911-025-03041-4 |
