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Sanjeev S. Tambe

Showing results (1-10 of 8) with videos related to

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Computational Biology and Chemistry|December 12, 2003
Artificial neural networks for prediction of mycobacterial promoter sequencesRupali N Kalate, Sanjeev S Tambe, Bhaskar D Kulkarni
Journal of Chromatography. A|October 14, 2015
Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indicesPurva Goel, Sanket Bapat, Renu Vyas, et al.
Combinatorial Chemistry & High Throughput Screening|July 4, 2015
Role of Chemical Reactivity and Transition State Modeling for Virtual ScreeningMuthukumarasamy Karthikeyan, Renu Vyas, Sanjeev S Tambe, et al.
Chaos (Woodbury, N.Y.)|June 5, 2003
Obtaining functional form for chaotic time series evolution using genetic algorithmVamsi K. Yadavalli, Rahul K. Dahule, Sanjeev S. Tambe, et al.
Biotechnology Progress|December 7, 2002
Genetic programming assisted stochastic optimization strategies for optimization of glucose to gluconic acid fermentationJitender Jit Singh Cheema, Narendra V Sankpal, Sanjeev S Tambe, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) DataRenu Vyas, Sanket Bapat, Purva Goel, et al.
Combinatorial Chemistry & High Throughput Screening|July 4, 2015
A Study of Applications of Machine Learning Based Classification Methods for Virtual Screening of Lead MoleculesRenu Vyas, Sanket Bapat, Esha Jain, et al.
Journal of Environmental Monitoring : JEM|May 6, 2003
Statistical analysis of the physico-chemical data on the coastal waters of CochinC S Padmanabha Iyer, Manonmani Sindhu, Savita G Kulkarni, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computational Biology and Chemistry|December 12, 2003
Artificial neural networks for prediction of mycobacterial promoter sequencesRupali N Kalate, Sanjeev S Tambe, Bhaskar D Kulkarni
Journal of Chromatography. A|October 14, 2015
Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indicesPurva Goel, Sanket Bapat, Renu Vyas, et al.
Combinatorial Chemistry & High Throughput Screening|July 4, 2015
Role of Chemical Reactivity and Transition State Modeling for Virtual ScreeningMuthukumarasamy Karthikeyan, Renu Vyas, Sanjeev S Tambe, et al.
Chaos (Woodbury, N.Y.)|June 5, 2003
Obtaining functional form for chaotic time series evolution using genetic algorithmVamsi K. Yadavalli, Rahul K. Dahule, Sanjeev S. Tambe, et al.
Biotechnology Progress|December 7, 2002
Genetic programming assisted stochastic optimization strategies for optimization of glucose to gluconic acid fermentationJitender Jit Singh Cheema, Narendra V Sankpal, Sanjeev S Tambe, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) DataRenu Vyas, Sanket Bapat, Purva Goel, et al.
Combinatorial Chemistry & High Throughput Screening|July 4, 2015
A Study of Applications of Machine Learning Based Classification Methods for Virtual Screening of Lead MoleculesRenu Vyas, Sanket Bapat, Esha Jain, et al.
Journal of Environmental Monitoring : JEM|May 6, 2003
Statistical analysis of the physico-chemical data on the coastal waters of CochinC S Padmanabha Iyer, Manonmani Sindhu, Savita G Kulkarni, et al.
Pageof 1