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V K Jayaraman

Showing results (1-10 of 13) with videos related to

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Biotechnology Progress|September 1, 1992
The solution of hollow fiber bioreactor design equationsV K Jayaraman
Protein and Peptide Letters|July 17, 2013
Identification of ligand binding pockets on nuclear receptors by machine learning methodsNinad Oak, V K Jayaraman
Protein and Peptide Letters|May 17, 2012
SVM prediction of ligand-binding sites in bacterial lipoproteins employing shape and physio-chemical descriptorsKiran Kadam, Prashant Prabhakar, V K Jayaraman
Journal of Immunological Methods|October 13, 2012
Hybrid biogeography based simultaneous feature selection and MHC class I peptide binding prediction using support vector machines and random forestsAtulji Srivastava, Shameek Ghosh, N Anantharaman, et al.
Applied Biochemistry and Biotechnology|October 25, 2002
Optimization of media by evolutionary algorithms for production of polyolsS V Patil, V K Jayaraman, B D Kulkarni
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Arterial pulse system: modern methods for traditional Indian medicineAniruddha Joshi, Sharat Chandran, V K Jayaraman, et al.
Protein and Peptide Letters|June 8, 2012
Defensinpred: defensin and defensin types prediction serverS Ramya Kumari, Ritesh Badwaik, Vijayaraghavan Sundararajan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Nadi Tarangini: a pulse based diagnostic systemAniruddha Joshi, Anand Kulkarni, Sharat Chandran, et al.
Database : the Journal of Biological Databases and Curation|December 9, 2017
AllerBase: a comprehensive allergen knowledgebaseKiran Kadam, Rajiv Karbhal, V K Jayaraman, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 27, 2012
ClassAMP: a prediction tool for classification of antimicrobial peptidesShaini Joseph, Shreyas Karnik, Pravin Nilawe, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Biotechnology Progress|September 1, 1992
The solution of hollow fiber bioreactor design equationsV K Jayaraman
Protein and Peptide Letters|July 17, 2013
Identification of ligand binding pockets on nuclear receptors by machine learning methodsNinad Oak, V K Jayaraman
Protein and Peptide Letters|May 17, 2012
SVM prediction of ligand-binding sites in bacterial lipoproteins employing shape and physio-chemical descriptorsKiran Kadam, Prashant Prabhakar, V K Jayaraman
Journal of Immunological Methods|October 13, 2012
Hybrid biogeography based simultaneous feature selection and MHC class I peptide binding prediction using support vector machines and random forestsAtulji Srivastava, Shameek Ghosh, N Anantharaman, et al.
Applied Biochemistry and Biotechnology|October 25, 2002
Optimization of media by evolutionary algorithms for production of polyolsS V Patil, V K Jayaraman, B D Kulkarni
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Arterial pulse system: modern methods for traditional Indian medicineAniruddha Joshi, Sharat Chandran, V K Jayaraman, et al.
Protein and Peptide Letters|June 8, 2012
Defensinpred: defensin and defensin types prediction serverS Ramya Kumari, Ritesh Badwaik, Vijayaraghavan Sundararajan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Nadi Tarangini: a pulse based diagnostic systemAniruddha Joshi, Anand Kulkarni, Sharat Chandran, et al.
Database : the Journal of Biological Databases and Curation|December 9, 2017
AllerBase: a comprehensive allergen knowledgebaseKiran Kadam, Rajiv Karbhal, V K Jayaraman, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 27, 2012
ClassAMP: a prediction tool for classification of antimicrobial peptidesShaini Joseph, Shreyas Karnik, Pravin Nilawe, et al.
Pageof 2