vepRisk - A Web Based Analysis Tool for Public Security Data

UNSTRUCTURED Survival analysis is a cornerstone of medical research enabling the assessment of clinical outcome for disease progression and treatment efficiency. Despite its central importance, neither commonly used spreadsheet software can handle it nor is there a web server for its computation. Here we introduce a web-based tool capable to perform uni- and multivariate Cox proportional hazards survival analysis using data generated by genomic, transcriptomic, proteomic, or metabolomics studies. We implemented different methods to establish cutoff values for trichotomization or for the dichotomization of continuous data. False discovery rate is computed to correct for multiple hypothesis testing. Multivariate analysis option enables comparing omics data with clinical variables. The registration-free web-service is available at https://kmplot.com/custom_data. The tool fills a gap and will be an invaluable help for basic medical and clinical research.

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iCn3D: from Web-based 3D Viewer to Structure Analysis Tool in Batch Mode

10.1101/2021.09.10.459868 ◽

2021 ◽

Author(s):

Jiyao Wang ◽

Philippe Youkharibache ◽

Aron Marchler-Bauer ◽

Christopher Lanczycki ◽

Dachuan Zhang ◽

...

Keyword(s):

Protein Interaction ◽

Large Data ◽

Accessible Surface Area ◽

Solvent Accessible Surface Area ◽

Analysis Tool ◽

Batch Mode ◽

Data Set ◽

Web Based ◽

Protein Protein Interaction ◽

Link Type

AbstractiCn3D was originally released as a web-based 3D viewer, which allows users to create a custom view in a life-long, shortened URL to share with colleagues. Recently, iCn3D was converted to use JavaScript classes and could be used as a library to write Node.js scripts. Any interactive features in iCn3D can be converted to Node.js scripts to run in batch mode for a large data set. Currently the following Node.js script examples are available at https://github.com/ncbi/icn3d/tree/master/icn3dnode: ligand-protein interaction, protein-protein interaction, change of interactions due to residue mutations, DelPhi electrostatic potential, and solvent accessible surface area. iCn3D PNG images can also be exported in batch mode using a Python script. Other recent features of iCn3D include the alignment of multiple chains from different structures, realignment, dynamic symmetry calculation for any subsets, 2D cartoons at different levels, and interactive contact maps. iCn3D can also be used in Jupyter Notebook as described at https://pypi.org/project/icn3dpy.

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WA VIS: A Web-based Augmented Reality Text Data Visual Analysis Tool

2019 International Conference on Virtual Reality and Visualization (ICVRV) ◽

10.1109/icvrv47840.2019.00011 ◽

2019 ◽

Author(s):

Yunqiang Pei ◽

Yadong Wu ◽

Song Wang ◽

Fupan Wang ◽

Hongyu Jiang ◽

...

Keyword(s):

Augmented Reality ◽

Visual Analysis ◽

Analysis Tool ◽

Text Data ◽

Web Based

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SCCREAM v.5 - A web-based airbreathing propulsion analysis tool

10.2514/6.1999-2104 ◽

1999 ◽

Cited By ~ 9

Author(s):

John Bradford ◽

John Olds

Keyword(s):

Analysis Tool ◽

Web Based

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Study on Network Emergency Evaluation with Web-Based Information

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.605-607.2466 ◽

2012 ◽

Vol 605-607 ◽

pp. 2466-2469

Author(s):

Chuan Mei Wang

Keyword(s):

Index System ◽

Structural Model ◽

Monitoring And Evaluation ◽

Empirical Method ◽

Evaluation Index System ◽

Public Security ◽

Web Based ◽

Feedback Information ◽

The Index System ◽

Set Up

Efforts to develop evaluation of networking emergency have been hampered by many obstacles. With the observation of network users’ browsing actions, the implicit feedback of the online people can be obtained based on the Web information. With the analysis of the formation of network emergency and users’ Web browsing actions, the users’ feedback information can be gotten. Based on the classification and summary of the feedback, the monitoring and evaluation index system of network emergency is set up. Furthermore, the structural model of variables effect network emergency for the emergency evaluation is established, and the empirical method for monitoring and evaluation network emergency is put forward. Empirical analysis shows that the index system and the model are reasonable. The work is of important meaning to the realization of monitoring online public security management and network emergency early warning.

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