Fabian Schmich
Overview
Explore the profile of Fabian Schmich including associated specialties, affiliations and a list of published articles.
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Snapshot
Articles
17
Citations
199
Followers
0
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Recent Articles
1.
Boushehri S, Kornivetc A, Winter D, Kazeminia S, Essig K, Schmich F, et al.
Cell Rep Methods
. 2024 Feb;
4(2):100715.
PMID: 38412831
Imaging flow cytometry (IFC) allows rapid acquisition of numerous single-cell images per second, capturing information from multiple fluorescent channels. However, the traditional process of staining cells with fluorescently labeled conjugated...
2.
Boushehri S, Essig K, Chlis N, Herter S, Bacac M, Theis F, et al.
Nat Commun
. 2023 Nov;
14(1):7888.
PMID: 38036503
Therapeutic antibodies are widely used to treat severe diseases. Most of them alter immune cells and act within the immunological synapse; an essential cell-to-cell interaction to direct the humoral immune...
3.
Bordukova M, Makarov N, Rodriguez-Esteban R, Schmich F, Menden M
Expert Opin Drug Discov
. 2023 Oct;
19(1):33-42.
PMID: 37887266
Introduction: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and...
4.
Elmes K, Schmich F, Szczurek E, Jenkins J, Beerenwinkel N, Gavryushkin A
PLoS One
. 2021 Jul;
16(7):e0254491.
PMID: 34255784
The treatment of complex diseases often relies on combinatorial therapy, a strategy where drugs are used to target multiple genes simultaneously. Promising candidate genes for combinatorial perturbation often constitute epistatic...
5.
Failmezger H, Zwing N, Tresch A, Korski K, Schmich F
Front Oncol
. 2021 Apr;
11:552331.
PMID: 33791196
Cancer immunotherapy has led to significant therapeutic progress in the treatment of metastatic and formerly untreatable tumors. However, drug response rates are variable and often only a subgroup of patients...
6.
Weberpals J, Becker T, Davies J, Schmich F, Ruttinger D, Theis F, et al.
Epidemiology
. 2021 Feb;
32(3):378-388.
PMID: 33591049
Background: Due to the non-randomized nature of real-world data, prognostic factors need to be balanced, which is often done by propensity scores (PSs). This study aimed to investigate whether autoencoders,...
7.
Schmich F, Kuipers J, Merdes G, Beerenwinkel N
Stat Appl Genet Mol Biol
. 2019 Mar;
18(3).
PMID: 30840598
In the post-genomic era of big data in biology, computational approaches to integrate multiple heterogeneous data sets become increasingly important. Despite the availability of large amounts of omics data, the...
8.
Wang C, Schmich F, Srivatsa S, Weidner J, Beerenwinkel N, Spang A
Elife
. 2018 Aug;
7.
PMID: 30136926
No abstract available.
9.
Srivatsa S, Kuipers J, Schmich F, Eicher S, Emmenlauer M, Dehio C, et al.
Bioinformatics
. 2018 Jun;
34(13):i519-i527.
PMID: 29950000
Motivation: Pathway reconstruction has proven to be an indispensable tool for analyzing the molecular mechanisms of signal transduction underlying cell function. Nested effects models (NEMs) are a class of probabilistic...
10.
Wang C, Schmich F, Srivatsa S, Weidner J, Beerenwinkel N, Spang A
Elife
. 2018 Jan;
7.
PMID: 29297464
Cells respond to stress by remodeling their transcriptome through transcription and degradation. Xrn1p-dependent degradation in P-bodies is the most prevalent decay pathway, yet, P-bodies may facilitate not only decay, but...