Hofmann-Apitius M - Search Results

1

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data.

Gootjes-Dreesbach L, Sood M, Sahay A, Hofmann-Apitius M, Fröhlich H. Gootjes-Dreesbach L, et al. Front Big Data. 2020 May 28;3:16. doi: 10.3389/fdata.2020.00016. eCollection 2020. Front Big Data. 2020. PMID: 33693390 Free PMC article.

2

Trial watch: Tracing investment in drug development for Alzheimer disease.

Kodamullil AT, Zekri F, Sood M, Hengerer B, Canard L, McHale D, Hofmann-Apitius M. Kodamullil AT, et al. Nat Rev Drug Discov. 2017 Dec;16(12):819. doi: 10.1038/nrd.2017.169. Epub 2017 Oct 23. Nat Rev Drug Discov. 2017. PMID: 29056749 No abstract available.

3

Using Multi-Scale Genetic, Neuroimaging and Clinical Data for Predicting Alzheimer's Disease and Reconstruction of Relevant Biological Mechanisms.

Khanna S, Domingo-Fernández D, Iyappan A, Emon MA, Hofmann-Apitius M, Fröhlich H. Khanna S, et al. Sci Rep. 2018 Jul 24;8(1):11173. doi: 10.1038/s41598-018-29433-3. Sci Rep. 2018. PMID: 30042519 Free PMC article.

4

Deep learning for clustering of multivariate clinical patient trajectories with missing values.

de Jong J, Emon MA, Wu P, Karki R, Sood M, Godard P, Ahmad A, Vrooman H, Hofmann-Apitius M, Fröhlich H. de Jong J, et al. Gigascience. 2019 Nov 1;8(11):giz134. doi: 10.1093/gigascience/giz134. Gigascience. 2019. PMID: 31730697 Free PMC article.

5

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling.

Mubeen S, Hoyt CT, Gemünd A, Hofmann-Apitius M, Fröhlich H, Domingo-Fernández D. Mubeen S, et al. Front Genet. 2019 Nov 22;10:1203. doi: 10.3389/fgene.2019.01203. eCollection 2019. Front Genet. 2019. PMID: 31824580 Free PMC article.

6

Corrigendum: The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling.

Mubeen S, Hoyt CT, Gemünd A, Hofmann-Apitius M, Fröhlich H, Domingo-Fernández D. Mubeen S, et al. Front Genet. 2020 Apr 29;11:436. doi: 10.3389/fgene.2020.00436. eCollection 2020. Front Genet. 2020. PMID: 32411185 Free PMC article.

7

Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders.

Sood M, Sahay A, Karki R, Emon MA, Vrooman H, Hofmann-Apitius M, Fröhlich H. Sood M, et al. Sci Rep. 2020 Jul 3;10(1):10971. doi: 10.1038/s41598-020-67398-4. Sci Rep. 2020. PMID: 32620927 Free PMC article.

8

GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning.

Muslu O, Hoyt CT, Lacerda M, Hofmann-Apitius M, Frohlich H. Muslu O, et al. IEEE/ACM Trans Comput Biol Bioinform. 2022 Jan-Feb;19(1):491-500. doi: 10.1109/TCBB.2020.3003830. Epub 2022 Feb 3. IEEE/ACM Trans Comput Biol Bioinform. 2022. PMID: 32750869

9

Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice.

Birkenbihl C, Emon MA, Vrooman H, Westwood S, Lovestone S; AddNeuroMed Consortium; Hofmann-Apitius M, Fröhlich H; Alzheimer’s Disease Neuroimaging Initiative. Birkenbihl C, et al. EPMA J. 2020 Jun 22;11(3):367-376. doi: 10.1007/s13167-020-00216-z. eCollection 2020 Sep. EPMA J. 2020. PMID: 32843907 Free PMC article.

10

Clustering of Alzheimer's and Parkinson's disease based on genetic burden of shared molecular mechanisms.

Emon MA, Heinson A, Wu P, Domingo-Fernández D, Sood M, Vrooman H, Corvol JC, Scordis P, Hofmann-Apitius M, Fröhlich H. Emon MA, et al. Sci Rep. 2020 Nov 5;10(1):19097. doi: 10.1038/s41598-020-76200-4. Sci Rep. 2020. PMID: 33154531 Free PMC article.

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