Patrik Edén

发表

Training artificial neural networks directly on the concordance index for censored data using genetic algorithms

Jonas Kalderstam, Patrik Edén, Pär-Ola Bendahl, 2013, Artif. Intell. Medicine.

Comparing Functional Annotation Analyses with Catmap Comparing Functional Annotation Analyses with Catmap

Patrik Edén, Thomas Breslin, Morten Krogh, 2004 .

Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

Patrik Edén, Najmeh Abiri, Björn Linse, 2019, Neurocomputing.

Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions

Carsten Peterson, Mattias Ohlsson, Patrik Edén, 2013, PLoS Comput. Biol..

Classification of Expression Patterns Using Artificial Neural Networks

Patrik Edén, Peter Johansson, Markus Ringnér, 2003 .

Imputation of Missing Data with Deep Denoising Autoencoders

Mattias Ohlsson, Patrik Edén, Najmeh Abiri, 2017 .

Ensembles of genetically trained artificial neural networks for survival analysis

Mattias Ohlsson, Jonas Kalderstam, Patrik Edén, 2013, ESANN.

A community effort to identify and correct mislabeled samples in proteogenomic studies

Michael L. Raymer, Patrik Edén, Henry Rodriguez, 2021, Patterns.

Intratumor versus intertumor heterogeneity in gene expression profiles of soft‐tissue sarcomas

Patrik Edén, Thomas Breslin, Mef Nilbert, 2005, Genes, chromosomes & cancer.

Molecular signatures in childhood acute leukemia and their correlations to expression patterns in normal hematopoietic subpopulations.

Patrik Edén, Björn Nilsson, Thoas Fioretos, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Expression profiling to predict outcome in breast cancer: the influence of sample selection

Carsten Peterson, Patrik Edén, Mårten Fernö, 2002, Breast Cancer Research.

Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy.

Carsten Peterson, Mattias Ohlsson, Patrik Edén, 2006, European journal of cancer.

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

Carsten Peterson, Mattias Ohlsson, Patrik Edén, 2015, Cell reports.

Predicting continuous values of prognostic markers in breast cancer from microarray gene expression profiles.

Carsten Peterson, Patrik Edén, Mårten Fernö, 2004, Molecular cancer therapeutics.

Accounting for one-channel depletion improves missing value imputation in 2-dye microarray data

Patrik Edén, Cecilia Ritz, P. Edén, 2008, BMC Genomics.