1st Basque AFNI meeting
34 - Advanced Visualization with AFNI & SUMA - Part 1 of 2 | The Center for Brains, Minds & Machines
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35 - Advanced Visualization with AFNI & SUMA - Part 2 of 2 | The Center for Brains, Minds & Machines
5.2. SUMA Viewer — AFNI, SUMA and FATCAT: v21.0.11
(PDF) Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data | Claus A Andersson - Academia.edu
Academia.edu is a platform for academics to share research papers.
About AFNI | afni.nimh.nih.gov
AFNI Bootcamp
The IMT School for Advanced Studies Lucca organizes an AFNI Bootcamp, as a satellite event of the upcoming Annual Meeting of the Organization for Human Brain Mapping (OHBM Rome 2019). The AFNI Bootcamp will be held in Lucca (Italy) on June 3-7, 2019. This is a course designed to teach
Contraindications to drug-eluting stents - Google Search
Basic Programs & Services for People with Disabilities - DisabilityInfo.org
Basic Programs & Services for People with Disabilities This fact sheet provides a general overview of programs and services available to people with
(PDF) Optimized time alignment algorithm for LCMS data: Correlation optimized warping using component detection algorithm-selected mass chromatograms | Christin Christin - Academia.edu
Academia.edu is a platform for academics to share research papers.
AFNI Class 09 - Stress and Neuroimaging Lab | UC San Diego Dept. of Psychiatry
UC San Diego School of Medicine Department of Psychiatry - Stress and Neuroimaging Lab AFNI Class 09
AFNI program: @Quiet_Talkers
10.pdf
AFNI program: @SUMA_Make_Spec_Caret
AFNI program: @SUMA_Make_Spec_SF
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3dAllineate — AFNI, SUMA and FATCAT: v21.0.11
AFNI program: suma
AFNI Training Bootcamp | The Center for Brains, Minds & Machines
3danisosmooth — AFNI, SUMA and FATCAT: v21.0.11
afni – toolkit for analyzing and visualizing functional MRI data — Debian Neuroscience Package Repository
afni/Makefile.NIH.CentOS.5.3_64 at master · afni/afni
pROC: an open-source package for R and S+ to analyze and compare ROC curves | BMC Bioinformatics | Full Text
Background Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. Results With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. Conclusions pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/ under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.
MAOIs (Monoamine Oxidase Inhibitors)
Monamine oxidase inhibitor drugs (MAOIs) are an uncommonly prescribed class of antidepressant drugs. Learn more about MAOI side effects and adverse reac...
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Types of drug-eluting stents - Google Search
2020-July-Sep - Broadband | FCC | Wireless | Cybersecurity | Congress | Privacy — AVL Blog - Communications Law & Technology
This blog contains short posts detailing recent FCC and congressional actions related to broadband, wireless, and other communications services and technologies.
3dbucket — AFNI, SUMA and FATCAT: v21.0.11