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To change this template's initial visibility, the |state= parameter may be used: {{Diseases of the skin and appendages by morphology | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Diseases of the skin and appendages by morphology | state = expanded}} will show the template expanded, i.e. fully ...
Skin Segmentation Dataset Randomly sampled color values from face images. B, G, R, values extracted. 245,057 Text Segmentation, classification 2012 [103] [104] R. Bhatt. Bosphorus 3D Face image database. 34 action units and 6 expressions labeled; 24 facial landmarks labeled. 4652 Images, text Face recognition, classification 2008 [105] [106]
Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficients. 640 Text Classification 1999 [128] [129] M. Kudo et al. Parkinson's Telemonitoring Dataset Multiple recordings of people with and without Parkinson's Disease. Sound features extracted. 5875 Text Classification 2009 [130] [131]
In this mode the input is a project file that can be generated by the DeepView (Swiss Pdb Viewer) visualization and structural analysis tool, [4] to allow the user to examine and manipulate the target-template alignment in its structural context. In all three cases the output is a pdb file with atom coordinates of the model or a DeepView ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
[[Category:Disease and disorder templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Disease and disorder templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
A target structure (ribbons) and 354 template-based predictions superimposed (gray Calpha backbones); from CASP8. Critical Assessment of Structure Prediction (CASP), sometimes called Critical Assessment of Protein Structure Prediction, is a community-wide, worldwide experiment for protein structure prediction taking place every two years since 1994.
The maximum is taken over all possible structure superpositions of the model and template (or some sample thereof). When comparing two protein structures that have the same residue order, L common {\displaystyle L_{\text{common}}} reads from the C-alpha order number of the structure files (i.e., Column 23-26 in Protein Data Bank (file format) ).