Schmich F - Search Results

1

Generative artificial intelligence empowers digital twins in drug discovery and clinical trials.

Bordukova M, Makarov N, Rodriguez-Esteban R, Schmich F, Menden MP. Bordukova M, et al. Among authors: schmich f. Expert Opin Drug Discov. 2024 Jan-Jun;19(1):33-42. doi: 10.1080/17460441.2023.2273839. Epub 2024 Jan 8. Expert Opin Drug Discov. 2024. PMID: 37887266 Review.

2

An enhanced prognostic score for overall survival of patients with cancer derived from a large real-world cohort.

Becker T, Weberpals J, Jegg AM, So WV, Fischer A, Weisser M, Schmich F, Rüttinger D, Bauer-Mehren A. Becker T, et al. Among authors: schmich f. Ann Oncol. 2020 Nov;31(11):1561-1568. doi: 10.1016/j.annonc.2020.07.013. Epub 2020 Jul 31. Ann Oncol. 2020. PMID: 32739409 Free article.

3

Deep Learning-based Propensity Scores for Confounding Control in Comparative Effectiveness Research: A Large-scale, Real-world Data Study.

Weberpals J, Becker T, Davies J, Schmich F, Rüttinger D, Theis FJ, Bauer-Mehren A. Weberpals J, et al. Among authors: schmich f. Epidemiology. 2021 May 1;32(3):378-388. doi: 10.1097/EDE.0000000000001338. Epidemiology. 2021. PMID: 33591049

4

Computational Tumor Infiltration Phenotypes Enable the Spatial and Genomic Analysis of Immune Infiltration in Colorectal Cancer.

Failmezger H, Zwing N, Tresch A, Korski K, Schmich F. Failmezger H, et al. Among authors: schmich f. Front Oncol. 2021 Mar 15;11:552331. doi: 10.3389/fonc.2021.552331. eCollection 2021. Front Oncol. 2021. PMID: 33791196 Free PMC article.

5

PXPermute reveals staining importance in multichannel imaging flow cytometry.

Shetab Boushehri S, Kornivetc A, Winter DJE, Kazeminia S, Essig K, Schmich F, Marr C. Shetab Boushehri S, et al. Among authors: schmich f. Cell Rep Methods. 2024 Feb 26;4(2):100715. doi: 10.1016/j.crmeth.2024.100715. Cell Rep Methods. 2024. PMID: 38412831 Free PMC article.

6

Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies.

Shetab Boushehri S, Essig K, Chlis NK, Herter S, Bacac M, Theis FJ, Glasmacher E, Marr C, Schmich F. Shetab Boushehri S, et al. Among authors: schmich f. Nat Commun. 2023 Nov 30;14(1):7888. doi: 10.1038/s41467-023-43429-2. Nat Commun. 2023. PMID: 38036503 Free PMC article.

7

Learning epistatic gene interactions from perturbation screens.

Elmes K, Schmich F, Szczurek E, Jenkins J, Beerenwinkel N, Gavryushkin A. Elmes K, et al. Among authors: schmich f. PLoS One. 2021 Jul 13;16(7):e0254491. doi: 10.1371/journal.pone.0254491. eCollection 2021. PLoS One. 2021. PMID: 34255784 Free PMC article.

8

netprioR: a probabilistic model for integrative hit prioritisation of genetic screens.

Schmich F, Kuipers J, Merdes G, Beerenwinkel N. Schmich F, et al. Stat Appl Genet Mol Biol. 2019 Mar 6;18(3). doi: 10.1515/sagmb-2018-0033. Stat Appl Genet Mol Biol. 2019. PMID: 30840598 Free article.

9

Correction: Context-dependent deposition and regulation of mRNAs in P-bodies.

Wang C, Schmich F, Srivatsa S, Weidner J, Beerenwinkel N, Spang A. Wang C, et al. Among authors: schmich f. Elife. 2018 Aug 23;7:e41300. doi: 10.7554/eLife.41300. Elife. 2018. PMID: 30136926 Free PMC article. No abstract available.

10

Improved pathway reconstruction from RNA interference screens by exploiting off-target effects.

Srivatsa S, Kuipers J, Schmich F, Eicher S, Emmenlauer M, Dehio C, Beerenwinkel N. Srivatsa S, et al. Among authors: schmich f. Bioinformatics. 2018 Jul 1;34(13):i519-i527. doi: 10.1093/bioinformatics/bty240. Bioinformatics. 2018. PMID: 29950000 Free PMC article.

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