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Fabian Schmich
Titolo
Citata da
Citata da
Anno
Context-dependent deposition and regulation of mRNAs in P-bodies
C Wang, F Schmich, S Srivatsa, J Weidner, N Beerenwinkel, A Spang
Elife 7, e29815, 2018
1012018
Simultaneous analysis of large-scale RNAi screens for pathogen entry
P Rämö, A Drewek, C Arrieumerlou, N Beerenwinkel, H Ben-Tekaya, ...
BMC genomics 15, 1-18, 2014
482014
Global characterization of signalling networks associated with tamoxifen resistance in breast cancer
BC Browne, F Hochgräfe, J Wu, EKA Millar, J Barraclough, A Stone, ...
The FEBS journal 280 (21), 5237-5257, 2013
482013
gespeR: a statistical model for deconvoluting off-target-confounded RNA interference screens
F Schmich, E Szczurek, S Kreibich, S Dilling, D Andritschke, A Casanova, ...
Genome biology 16 (1), 1-12, 2015
402015
Identification of hypoxia-regulated proteins using MALDI-mass spectrometry imaging combined with quantitative proteomics
MC Djidja, J Chang, A Hadjiprocopis, F Schmich, J Sinclair, M Mršnik, ...
Journal of proteome research 13 (5), 2297-2313, 2014
332014
An enhanced prognostic score for overall survival of patients with cancer derived from a large real-world cohort
T Becker, J Weberpals, AM Jegg, WV So, A Fischer, M Weisser, ...
Annals of Oncology 31 (11), 1561-1568, 2020
292020
A Genome-Wide siRNA Screen Implicates Spire1/2 in SipA-Driven Salmonella Typhimurium Host Cell Invasion
D Andritschke, S Dilling, M Emmenlauer, T Welz, F Schmich, B Misselwitz, ...
PloS one 11 (9), e0161965, 2016
192016
Properties of short double-stranded RNAs carrying randomized base-pairs: toward better controls for RNAi experiments
JH Julian A. Zagalak, Mirjam Menzi, Fabian Schmich, Hartmut Jahns, Afzal M ...
RNA, 2015
172015
Deep learning-based propensity scores for confounding control in comparative effectiveness research: A large-scale, real-world data study
J Weberpals, T Becker, J Davies, F Schmich, D Rüttinger, FJ Theis, ...
Epidemiology 32 (3), 378-388, 2021
142021
Correction: Context-dependent deposition and regulation of mRNAs in P-bodies
C Wang, F Schmich, S Srivatsa, J Weidner, N Beerenwinkel, A Spang
Elife 7, e41300, 2018
142018
Annotation-efficient classification combining active learning, pre-training and semi-supervised learning for biomedical images
SS Boushehri, AB Qasim, D Waibel, F Schmich, C Marr
bioRxiv, 2020.12. 07.414235, 2020
10*2020
Improved pathway reconstruction from RNA interference screens by exploiting off-target effects
S Srivatsa, J Kuipers, F Schmich, S Eicher, M Emmenlauer, C Dehio, ...
Bioinformatics 34 (13), i519-i527, 2018
62018
Learning epistatic gene interactions from perturbation screens
K Elmes, F Schmich, E Szczurek, J Jenkins, N Beerenwinkel, ...
Plos one 16 (7), e0254491, 2021
52021
Computational tumor infiltration phenotypes enable the spatial and genomic analysis of immune infiltration in colorectal cancer
H Failmezger, N Zwing, A Tresch, K Korski, F Schmich
Frontiers in Oncology 11, 552331, 2021
42021
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
S Shetab Boushehri, K Essig, NK Chlis, S Herter, M Bacac, FJ Theis, ...
Nature Communications 14 (1), 7888, 2023
22023
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification
S Shetab Boushehri, AB Qasim, D Waibel, F Schmich, C Marr
International Conference on Artificial Neural Networks, 355-365, 2022
22022
netprioR: a probabilistic model for integrative hit prioritisation of genetic screens
F Schmich, J Kuipers, G Merdes, N Beerenwinkel
Statistical applications in genetics and molecular biology 18 (3), 20180033, 2019
22019
Computational Studies in Genetic Perturbation Screening
F Schmich
ETH Zurich, 2016
12016
PXPermute reveals staining importance in multichannel imaging flow cytometry
SS Boushehri, A Kornivetc, DJE Winter, S Kazeminia, K Essig, F Schmich, ...
Cell Reports Methods 4 (2), 2024
2024
PXPermute: Unveiling staining importance in multichannel fluorescence microscopy
SS Boushehri, A Kornivetc, D Waibel, S Kazeminia, F Schmich, C Marr
bioRxiv, 2023.05. 28.542646, 2023
2023
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