Mika Gustafsson

According to our database, Mika Gustafsson authored at least 8 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules.

Hendrik A. de Weerd, Dimitri Guala, Mika Gustafsson, Jane Synnergren, Jesper Tegnér, Zelmina Lubovac-Pilav, Rasmus Magnusson

Patterns, 2024

2023

NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures.

David Martínez-Enguita, Sanjiv K. Dwivedi, Rebecka Jörnsten, Mika Gustafsson

Briefings Bioinform., September, 2023

2021

ComHub: Community predictions of hubs in gene regulatory networks.

Julia Åkesson, Zelmina Lubovac-Pilav, Rasmus Magnusson, Mika Gustafsson

BMC Bioinform., 2021

Using high-throughput multi-omics data to investigate structural balance in elementary gene regulatory network motifs.

Alberto Zenere, Olof Rundquist, Mika Gustafsson, Claudio Altafini

Bioinform., 2021

2020

MODifieR: an Ensemble R Package for Inference of Disease Modules from Transcriptomics Networks.

Hendrik A. de Weerd, Tejaswi V. S. Badam, David Martínez-Enguita, Julia Åkesson, Daniel Muthas, Mika Gustafsson, Zelmina Lubovac-Pilav

Bioinform., 2020

LiPLike: towards gene regulatory network predictions of high certainty.

Rasmus Magnusson, Mika Gustafsson

Bioinform., 2020

2017

LASSIM - A network inference toolbox for genome-wide mechanistic modeling.

Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R. Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn E. M. Nordling, Elin Nyman, Sylvie Schulze, Colm E. Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson

PLoS Comput. Biol., 2017

2010

Gene networks from high-throughput data: Reverse engineering and analysis.

Mika Gustafsson

PhD thesis, 2010