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Marcin Tatjewski

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Methods in Molecular Biology (Clifton, N.J.)|October 28, 2016
Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best PracticesMarcin Tatjewski, Marcin Kierczak, Dariusz Plewczynski
Molecular Reproduction and Development|December 15, 2015
The proline-rich region of glyceraldehyde-3-phosphate dehydrogenase from human sperm may bind SH3 domains, as revealed by a bioinformatic study of low-complexity protein segmentsMarcin Tatjewski, Aleksandra Gruca, Dariusz Plewczynski, et al.
Peerj|July 10, 2015
Multi-level machine learning prediction of protein-protein interactions in Saccharomyces cerevisiaeJulian Zubek, Marcin Tatjewski, Adam Boniecki, et al.
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Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Methods in Molecular Biology (Clifton, N.J.)|October 28, 2016
Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best PracticesMarcin Tatjewski, Marcin Kierczak, Dariusz Plewczynski
Molecular Reproduction and Development|December 15, 2015
The proline-rich region of glyceraldehyde-3-phosphate dehydrogenase from human sperm may bind SH3 domains, as revealed by a bioinformatic study of low-complexity protein segmentsMarcin Tatjewski, Aleksandra Gruca, Dariusz Plewczynski, et al.
Peerj|July 10, 2015
Multi-level machine learning prediction of protein-protein interactions in Saccharomyces cerevisiaeJulian Zubek, Marcin Tatjewski, Adam Boniecki, et al.
Pageof 1