Author

Israa Alqassem

Ludwig-Maximilians-Universität München

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Andrea Meiser· 1 shared Andreas HenscheliD· 1 shared Erika Klitzke-Feser· 1 shared Filippo GrazioliiD· 1 shared Giampaolo Pileggi· 1 shared Heejung ShimiD· 1 shared Raman SiarheyeuiD· 1 shared Stefan CanzariD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Andrea Meiser

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Microbiome-based disease prediction with multimodal variational information bottlenecks

Filippo Grazioli, Raman Siarheyeu, Israa Alqassem, Andreas Henschel, Giampaolo Pileggi, Andrea Meiser

This paper introduces MVIB, a deep learning model that combines gut microbiome data with metabolomic data to predict disease, achieving high performance across multiple disease cohorts.

PLoS Computational Biology · Apr 11, 2022Peer-reviewedBioinformatics

McSplicer: a probabilistic model for estimating splice site usage from RNA-seq data

Israa Alqassem, Yash Sonthalia, Erika Klitzke-Feser, Heejung Shim, Stefan Canzar

McSplicer estimates splice site usage from RNA-seq data using a probabilistic model, achieving more accurate results than existing methods.

Bioinformatics · Jan 25, 2021Peer-reviewedBioinformatics