21 Models visible to you, out of a total of 23

This is an interactive version of figure 4 of the publication „Integration of Genome-Wide SNP Data and Gene-Expression Profiles Reveals Six Novel Loci and Regulatory Mechanisms for Amino Acids and Acylcarnitines in Whole Blood“.

Creators: René Hänsel, Markus Scholz

Contributor: René Hänsel

Implementation of recently developed dynamic mathematical models of normal and leukemic hematopoiesis to practically impact clinical decision- making.

Fitting available individual patients information, prediction of next-cycle thrombopenia caused by CHOEP treatment based on the individual fits of the preceeding treatment cycles, changing next-cycle relative dosing, posponement of the next cycle, changing follow-up period, visualization of data and simulation

Creator: René Hänsel

Contributor: René Hänsel

Emerging health geography research analyzes and visualizes health behaviors and outcomes in relation to urban environmental data and related official statistics to produce “health reports” for specific areas. This can be extended to developments in urban planning, e.g., to identify districts or neighborhoods for social investments or restrictions.

We mapped anthropometric data the large LIFE Adult population (10,000 participants) onto the Leipzig map. In particular, we derived the body mass index

Creator: René Hänsel

Contributor: René Hänsel

The platform is intended for visualization of expression- and mutation-driven changes in biological pathway activities in cancer datasets available in ICGC. The impact of somatic mutations on protein-protein interactions were calculated using Mechismo. Overall activity of biological pathway was evaluated using Pathway Signal Flow algorithm. The application provides interactive heatmaps for pathway output sink node activities and pathway images with mapped affected interactions and output node

Creators: Christoph Beger, Siras Hakobyan

Contributor: Christoph Beger

The main goal is to provide a principled analysis workflow addressing specific issues of mass-spectrometry metabolite measurements in the context of testing in multiple studies with a high number of hypotheses

Shiny-Application of an analysis pipeline for preprocessing, association and covariate selection of metabolite data with clinical and lifestyle factors in one or more seperate studies. Preprocessing steps include transformation, outlier filtering and batch-adjustment. Analyses include uni-

Creator: Carl Beuchel

Contributor: Carl Beuchel

On this homepage we provide a web-based tool to calculate prognostic scores on haematopoietic toxicity for 6 cycles CHOP-like regimen in patients with aggressive NHL. As we used for this analysis the data collected within the NHL-B1 and NHL-B2 trials of the DSHNHL as described in detail in Pfreundschuh et al. the predictions are valid for similar patient populations.

We offer two types of models. Pre-treatment models include beside the therapy regimen only prognostic

Creators: René Hänsel, Marita Ziepert

Contributor: René Hänsel

The GC-HBOC BC Risk Explorer (GC-HBOC BC-RE) predicts the breast cancer risk for BRCA1/2 carriers and high-risk non-carriers at risk for first breast cancer (cohort 1), and BRCA1/2 carriers and high-risk non-carriers who were previously diagnosed with unilateral breast cancer, and are at risk for contralateral breast cancer (cohort 2). GC-HBOC BC-RE is based on data from female BRCA1/2 carriers and non-carriers with a family history of breast and ovarian cancer, who participated in the intensified

Creators: Silke Zachariae, Christoph Engel

Contributor: Silke Zachariae

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