Assessing association between protein truncating variants and quantitative traits. - Manuel A. Rivas; Matti Pirinen; Matthew J. Neville; Kyle J. Gaulton; Loukas Moutsianas; Cecilia M. Lindgren; Fredrik Karpe; Mark I. McCarthy; Peter Donnelly (Bioinform., 2013)

Benefits of statistical molecular design, covariance analysis, and reference models in QSAR: a case study on acetylcholinesterase. - C. David Andersson; J. Mikael Hillgren; Cecilia M. Lindgren; Weixing Qian; Christine Akfur; Lotta Berg; Fredrik Ekström; Anna Linusson (J. Comput. Aided Mol. Des., 2015)

Towards Deep Cellular Phenotyping in Placental Histology. - Michael Ferlaino; Craig A. Glastonbury; Carolina Motta-Mejia; Manu Vatish; Ingrid Granne; Stephen Kennedy; Cecilia M. Lindgren; Christoffer Nellåker (CoRR, 2018)

Adjusting for Confounding in Unsupervised Latent Representations of Images. - Craig A. Glastonbury; Michael Ferlaino; Christoffer Nellåker; Cecilia M. Lindgren (CoRR, 2018)

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. - Craig A. Glastonbury; Sara L. Pulit; Julius Honecker; Jenny C. Censin; Samantha Laber; Hanieh Yaghootkar; Nilufer Rahmioglu; Emilie Pastel; Katerina Kos; Andrew Pitt; Michelle Hudson; Christoffer Nellåker; et al. (PLoS Comput. Biol., 2020)

A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs. - Claudia Vanea; Jonathan Campbell; Omri Dodi; Liis Salumäe; Karen Meir; Drorith Hochner-Celnikier; Hagit Hochner; Triin Laisk; Linda M. Ernst; Cecilia M. Lindgren; Christoffer Nellåker (CoRR, 2022)

Enhancing Cross-Institute Generalisation of GNNs in Histopathology Through Multiple Embedding Graph Augmentation (MEGA). - Jonathan Campbell; Claudia Vanea; Liis Salumäe; Karen Meir; Drorith Hochner-Celnikier; Hagit Hochner; Triin Laisk; Linda M. Ernst; Cecilia M. Lindgren; Weidi Xie; Christoffer Nellåker (MIUA (2), 2024)