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Attempt to repair SAML 2.0 SP metadata. Built for the way UIT currently stores metadata fragments.
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Manish Saggar / indcon
GNU General Public License v3.0 onlyCode for extracting individual contribution from group Structural Covariance Matrices (SCM). See this article for more info - https://dx.doi.org/10.1016%2Fj.neuroimage.2015.07.006
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Craft the hierarchical parenting json file needed by Nagios to determine interdependencies: https://assets.nagios.com/downloads/nagioscore/docs/nagioscore/3/en/networkreachability.html
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MINT is a Python package that streamlines integration of multilayer networks for multimodal community detection (subtyping). MINT is comprised of several modules crafted to: standardize input data, execute Spectral Neighbor-joining Fusion (SNF) and Generalized Louvain (GenLouvain) algorithms, visualize intermediate results, perform cross-validation techniques, and optimize the identified communities by selecting an optimal combination of modalities that maximizes the silhouette score.
Contact: Dr. Saman Sarraf (ssarraf@stanford.edu), Dr. Hadi Hosseini (study_brain@stanford.edu)
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The collaborative 3-person Pictionary task is a multi-player version of the Pictionary game [1]. The goal of the task is to draw a verb independently and collectively for others to guess. Nine verbs were drawn over three runs. The drawing of each verb can be split into three phases: independent phase (two blocks), evaluation phase (one block), and the collaboration phase (three blocks). Each block lasted for 30s, and was separated by a fixation period jittering around 7-8s. Ref[1]: Xie, Hua, et al. "Finding the neural correlates of collaboration using a three-person fMRI hyperscanning paradigm." bioRxiv (2019): 782870.
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This stores the scripts that we have on hidpl-archive, to back up the various HIDPL servers.
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MATLAB scripts for running an fMRI task. Modified version of the Sternberg task
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Scripts used to explore dimensionality reduction and classification for a dataset investigating sex differences in those diagnosed with ASD. Written in Python with scikit
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PowerDNS pipe back end providing DNS load balancing
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The Quake lab has a couple of sequencing systems. This will be the workflow that monitors for completed jobs, gets the sample sheets, and runs analysis.
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