Patrik Edén
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- 2019
-
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
Dihge, Looket LU ; Ohlsson, Mattias LU
;
Edén, Patrik
LU
;
Bendahl, Pär Ola
LU
and
Rydén, Lisa
LU
(2019)
In BMC Cancer
19(1).
Mark
-
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, Najmeh LU ; Linse, Björn LU ; Edén, Patrik LU and Ohlsson, Mattias LU
(2019)
In Neurocomputing
365.
p.137-146
Mark
- 2018
-
Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors
Sjöström, Martin LU ; Staaf, Johan LU
;
Edén, Patrik
LU
;
Wärnberg, Fredrik
;
Bergh, Jonas
;
Malmström, Per
LU
;
Fernö, Mårten
LU
;
Niméus, Emma
LU
and
Fredriksson, Irma
(2018)
In Breast Cancer Research
20(1).
Mark
-
A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients : Study protocol of the SCAN-B resilience study
Axelsson, Ulrika LU
;
Rydén, Lisa
LU
;
Johnsson, Per
LU
;
Edén, Patrik
LU
;
Månsson, Johanna
LU
;
Hallberg, Ingalill Rahm
LU
and
Borrebaeck, Carl A.K.
LU
(2018)
In BMC Cancer
18(1).
Mark
- 2015
-
Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.
Pina, Cristina ; Teles, José LU ; Fugazza, Cristina ; May, Gillian ; Wang, Dapeng ; Guo, Yanping ; Soneji, Shamit LU ; Brown, John ; Edén, Patrik LU and Ohlsson, Mattias LU
, et al.
(2015)
In Cell Reports
11(10).
p.1503-1510
Mark
- Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
- 2014
- SOX11 and TP53 add prognostic information to MIPI in a homogenously treated cohort of mantle cell lymphoma - a Nordic Lymphoma Group study.
- 2013
-
Transcriptional regulation of lineage commitment - a stochastic model of cell fate decisions.
Teles, José LU ; Pina, Cristina ; Edén, Patrik LU ; Ohlsson, Mattias LU
;
Enver, Tariq
and
Peterson, Carsten
LU
(2013)
In PLoS Computational Biology
9(8).
Mark
-
Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
Kalderstam, Jonas LU ; Edén, Patrik LU ; Bendahl, Pär-Ola LU ; Forsare, Carina LU ; Fernö, Mårten LU and Ohlsson, Mattias LU
(2013)
In Artificial Intelligence in Medicine
58(2).
p.125-132
Mark
-
Ensembles of genetically trained artificial neural networks for survival analysis
Kalderstam, Jonas LU ; Edén, Patrik LU and Ohlsson, Mattias LU
(2013)
21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013
p.333-338
Mark