'Cleavage sites' diaporamas de présentation

Multi-factor model for prediction of the caspase degradome Lawrence Wee

452 views • 32 slides

Multi-factor model for prediction of the caspase degradome Lawrence Wee

338 views • 32 slides

Artificial Neural Networks Thomas Nordahl Petersen & Morten Nielsen

Artificial Neural Networks Thomas Nordahl Petersen & Morten Nielsen. Use of artificial neural networks. A data-driven method to predict a feature, given a set of training data In biology input features could be amino acid sequence or nucleotides Secondary structure prediction

465 views • 29 slides

Artificial Neural Networks Thomas Nordahl Petersen & Morten Nielsen

Artificial Neural Networks Thomas Nordahl Petersen & Morten Nielsen. Use of artificial neural networks. A data-driven method to predict a feature, given a set of training data In biology input features could be amino acid sequence or nucleotides Secondary structure prediction

295 views • 29 slides

Conditional Random Fields for the Prediction of Signal Peptide Cleavage Sites

Conditional Random Fields for the Prediction of Signal Peptide Cleavage Sites. M.W. Mak The Hong Kong Polytechnic University. S.Y. Kung Princeton University. Contents. Introduction Proteins and Their Subcellular Locations Importance of Protein Cleavage-Site Prediction

504 views • 24 slides

205 views • 20 slides

Limited Proteolysis of MDH with Immobilized TPCK-Trypsin

Limited Proteolysis of MDH with Immobilized TPCK-Trypsin.

118 views • 1 slides