Tegnér J

Data meets prior knowledge for interpretable mechanistic inference in biology

Gomez-Cabrero D, Tegnér JN

Nat Mach Intell 7 (7) 987-988 [2025-07-22; online 2025-07-22]

Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers

Khan SA, Maillo A, Lagani V, ..., Gomez-Cabrero D, Tegner J

Nat Mach Intell 5 (12) 1437-1446 [2023-11-16; online 2023-11-16]

scAEGAN: Unification of single-cell genomics data by adversarial learning of latent space correspondences.

Khan SA, Lehmann R, Martinez-de-Morentin X, ..., Gomez-Cabrero D, Tegner J

PLoS ONE 18 (2) e0281315 [2023-02-03; online 2023-02-03]

Deep neural network prediction of genome-wide transcriptome signatures - beyond the Black-box.

Magnusson R, Tegnér JN, Gustafsson M

NPJ Syst Biol Appl 8 (1) 9 [2022-02-23; online 2022-02-23]

Harmonization of quality metrics and power calculation in multi-omic studies.

Tarazona S, Balzano-Nogueira L, Gómez-Cabrero D, ..., Westerhuis JA, Conesa A

Nat Commun 11 (1) 3092 [2020-06-18; online 2020-06-18]

Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder.

Dwivedi SK, Tjärnberg A, Tegnér J, Gustafsson M

Nat Commun 11 (1) 856 [2020-02-12; online 2020-02-12]

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse.

Gomez-Cabrero D, Tarazona S, Ferreirós-Vidal I, ..., Tegner J, Conesa A

Sci Data 6 (1) 256 [2019-10-31; online 2019-10-31]

Causal deconvolution by algorithmic generative models

Zenil H, Kiani NA, Zea AA, Tegnér J

Nat Mach Intell 1 (1) 58-66 [2019-01-07; online 2019-01-07]