Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms.

by Jonas Kalderstam, Patrik Edén, Mattias Ohlsson
Published 2015-01-01

Artificial neural network models to predict nodal status in clinically node-negative breast cancer

by Looket Dihge, Mattias Ohlsson, Patrik Edén, Pär-Ola Bendahl, Lisa Rydén
Published 2019-06-01

Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions.

by Jose Teles, Cristina Pina, Patrik Edén, Mattias Ohlsson, Tariq Enver, Carsten Peterson
Published 2013-01-01

A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study

by Ulrika Axelsson, Lisa Rydén, Per Johnsson, Patrik Edén, Johanna Månsson, Ingalill Rahm Hallberg, Carl A. K. Borrebaeck
Published 2018-08-01

Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors

by Martin Sjöström, Johan Staaf, Patrik Edén, Fredrik Wärnberg, Jonas Bergh, Per Malmström, Mårten Fernö, Emma Niméus, Irma Fredriksson
Published 2018-07-01

Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis

by Cristina Pina, José Teles, Cristina Fugazza, Gillian May, Dapeng Wang, Yanping Guo, Shamit Soneji, John Brown, Patrik Edén, Mattias Ohlsson, Carsten Peterson, Tariq Enver
Published 2015-06-01