Author

Tianyu Cui

Aalto UniversityORCID 0000-0003-2392-0689Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aki Samuli HavulinnaiD· 2 shared Khaoula El Mekkaoui· 2 shared Pekka MarttineniD· 2 shared Samuel Kaski AiD· 2 shared Jaakko Reinvall· 1 shared

Activity by Year

2021-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Aki Samuli HavulinnaORCID

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2 papers

Recent·Most cited

BioinformaticsCommunications BiologyPeer-reviewedNov 12, 2022

Gene-Gene Interaction Detection with Deep Learning

Tianyu Cui, Khaoula El Mekkaoui, Jaakko Reinvall…·Samuel Kaski A

This paper introduces a deep learning method to detect gene-gene interactions by considering all SNPs and complex interactions, outperforming existing methods and identifying novel interactions in a cholesterol study.

39 citationstop 3%

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintNov 9, 2021

Improving Neural Networks for Genotype-Phenotype Prediction Using Published Summary Statistics

Tianyu Cui, Khaoula El Mekkaoui, Aki Samuli Havulinna…·Samuel Kaski A

This paper introduces a regularization method called main effect prior (MEP) to improve genotype-phenotype prediction using GWAS summary statistics, showing improved performance on small datasets.

DOI 10.1101/2021.11.09.467937

GWAS summary statisticsstatistical model

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