activity
20072020
most citedStructure Learning in Nested Effects Models

43 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2020★ 3 cited

Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data

Kathrin Möllenhoff, Achim Tresch

The classical approach to analyze time-to-event data, e.g. in clinical trials, is to fit Kaplan-Meier curves yielding the treatment effect as the hazard ratio between treatment gro…

stat.ML2012

Automatic post-picking using MAPPOS improves particle image detection from Cryo-EM micrographs

Ramin Norousi, Stephan Wickles, Christoph Leidig +4

Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction are extensively used to reveal structural information on macromolecular complexes. Aiming at the hig…

cs.CV2012★ 33 cited

Automatic post-picking improves particle image detection from Cryo-EM micrographs

Ramin Norousi, Stephan Wickles, Thomas Becker +3

Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction is extensively used to reveal structural information of macromolecular complexes. Aiming at the high…

q-bio.QM2009

Starr: Simple Tiling Array Analysis of Affymetrix ChIP-chip data

Benedikt Zacher, Achim Tresch

Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay for DNA-protein-binding or post-translational chromatin/histone modifications. As with all high-…

q-bio.QM2007★ 43 cited

Structure Learning in Nested Effects Models

Achim Tresch, Florian Markowetz

Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-di…