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6 Models visible to you, out of a total of 6

oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization. These functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular ...

Creator: Henry Löffler-Wirth

Submitter: René Hänsel

The LHA Body typer is an interactive app that enables interested users to determine their body type by manual measuring of few body lengths and girths. Additionally, data derived from body scanner devices can be uploaded for automatic body type annotation with regard to the body shapes identified in the Leipzig population.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

The PanCancer Browser is a web application for the interactive comparison of molecular landscapes of different cancers provided by the oposSOM analysis pipeline. It complements the single data set-centered browsing tool oposSOM-Browser.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

The Covid‐19 viewer provides an intuitive tool to monitor the development of the pandemic in 188 countries using simple plots. The tool is interactive and enables the user to select different plots for single countries, groups or all of them. It visualizes descriptive features such as slopes or flattening behaviour of epidemic numbers and of their increments to allow a qualitative justification of the current state of the pandemic, e.g. whether it is growing exponentially, stopped due to counter ...

Creators: Hans Binder, Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Analysis of large-scale molecular biological data using self-organizing maps

Comprehensive analysis of genome-wide molecular data challenges bioinformatics methodology in terms of intuitive visualization with single-sample resolution, biomarker selection, functional information mining and highly granular stratification of sample classes. oposSOM combines those functionalities making use of a comprehensive analysis and visualization strategy based on self-organizing maps (SOM) machine learning ...

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

Contribute to hloefflerwirth/scrat development by creating an account on GitHub.

Creator: Henry Löffler-Wirth

Submitter: Henry Löffler-Wirth

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