Decoding Gene Expression in 2D and 3D. - Maxime Bombrun; Petter Ranefall; Joakim Lindblad; Amin Allalou; Gabriele Partel; Leslie Solorzano; Xiaoyan Qian; Mats F. Nilsson; Carolina Wählby (SCIA (2), 2017)

Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model. - Gabriele Partel; Giorgia Milli; Carolina Wählby (CoRR, 2018)

Graph-based image decoding for multiplexed in situ RNA detection. - Gabriele Partel; Carolina Wählby (ICPR, 2020)

Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning. - Axel Andersson; Gabriele Partel; Leslie Solorzano; Carolina Wählby (ISBI, 2020)

TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data. - Leslie Solorzano; Gabriele Partel; Carolina Wählby (Bioinform., 2020)

Image and Data Analysis for Spatially Resolved Transcriptomics: Decrypting fine-scale spatial heterogeneity of tissue's molecular architecture. - Gabriele Partel (2020)

FUNGI: FUsioN Gene Integration toolset. - Alejandra Cervera; Heidi Rausio; Tiia Kähkönen; Noora Andersson; Gabriele Partel; Ville Rantanen; Giulia Paciello; Elisa Ficarra; Johanna Hynninen; Sakari Hietanen; Olli Carpén; Rainer Lehtonen; et al. (Bioinform., 2021)

De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks. - Sergio Marco Salas; Xiao Yuan 005; Christer Sylven; Mats F. Nilsson; Carolina Wählby; Gabriele Partel (PLoS Comput. Biol., 2022)