Search Results for "es1-2016-leic1pl-81"
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Showing 11 open source projects for "es1-2016-leic1pl-81"
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gramm
Gramm is a complete data visualization toolbox for Matlab
... for GRAMmar of graphics for MATLAB. A similar library called Seaborn also exists for Python. Gramm has been used in many publications from varied fields and is particularily suited for neuroscience, from human movement psychophysics (Morel et al. 2017), to electrophysiology (Morel et al. 2016; Ferrea et al. 2017), human functional imaging (Wan et al. 2017) and animal training (Berger et al. 2017). -
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ReViSP
ReViSP, a 3D volume rendering MATLAB tool for multicellular spheroids
... versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. Computer Methods and Programs in Biomedicine, 118(2):95–106, 2015. (b) F. Piccinini, et al., Single-image based methods used for non-invasive volume estimation of cancer spheroids: a practical assessing approach based on entry-level equipment. Computer Methods and Programs in Biomedicine, 135:51-60, 2016. -
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Liberal Learning Seminar
Code for a freshman seminar in animal behavior
At Winston-Salem State University, 'Liberal Learning Seminars' are freshman seminars that teach skills such as critical thinking and oral communication. This code is for one such seminar, called Why Animals Do It, which will be offered at WSSU beginning in 2016. The program will combine several simulation models and allow students to alter parameters and use computers to study animal behavior. All student interactions will be through a friendly user interface -- no coding is required... -
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detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
detectMITE - a MATLAB-based tool for detecting miniature inverted repeat transposable elements (MITEs) in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectMITE? Ye C, Ji G, Liang C (2016) detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Sci. Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect... -
The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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MRiLab
A Numerical MRI Simulation Platform
... technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961 -
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lpACLib
An Open-Source Library for Low-Power Approximate Computing Modules
... library facilitates research and development in approximate computing at higher abstraction levels, and to facilitate reproducible research and comparisons. In case of usage, please refer to our publication: Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel, "Cross-Layer Approximate Computing: From Logic to Architectures", Design Automation Conference (DAC), 2016. Contributors: Authors, Vanshika Baoni, M. Abdullah Hanif http://ces.itec.kit.edu/lpACLib.php -
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Density-ratio based clustering
Discovering clusters with varying densities
... densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571 -
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The Free Finite Element Package is a library which contains numerical methods required when working with finite elements. The goal of FFEP is to provide basic functions for approximating the solution of elliptic and parabolic PDEs in 2D. Until 2016 FFEP was developed using C. Science 2016 the language was switched to GNU Octave with some C Mex-Functions. Mesh generation or import is not part of FFEP. We recommend the use of Gmsh.
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . Since this software is licensed... -
Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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ChelomEx
Isotope assisted discovery of metal chelating agents from LC-MS data
... in future versions please send me a message. The current version ChelomEx 1.2 from 06 January 2016 includes the following changes to the original version (ChelomEx 1.0): - function to filter discovered isotope patterns after the first analysis step (isotope pattern search), accessible in the Isotope Pattern toolbar (v1.2) - updates for compatibility with MatLab versions after 2014b (v1.2) - siderophore database update (v1.1) - can now also analyze negative mode data (v1.1) - bug fixes (v1.1) -
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riboshape
Predicting ribosome footprint profile shapes from transcript sequences
Riboshape is a suite of algorithms to predict ribosome footprint profile shapes from transcript sequences. It applies kernel smoothing to codon sequences to build predictive features, and uses these features to builds a sparse regression model to predict the ribosome footprint profile shapes. Reference: Liu, T.-Y. and Song, Y.S. Prediction of ribosome footprint profile shapes from transcript sequences. Proceedings of ISMB 2016, Bioinformatics, Vol. 32 No. 12 (2016) i183-i191.
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