Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia J Nordlund, CL Bäcklin, P Wahlberg, S Busche, EC Berglund, ... Genome biology 14, 1-15, 2013 | 379 | 2013 |
ProteinSeq: high-performance proteomic analyses by proximity ligation and next generation sequencing S Darmanis, RY Nong, J Vänelid, A Siegbahn, O Ericsson, S Fredriksson, ... PloS one 6 (9), e25583, 2011 | 116 | 2011 |
DNA methylation-based subtype prediction for pediatric acute lymphoblastic leukemia J Nordlund, CL Bäcklin, V Zachariadis, L Cavelier, J Dahlberg, ... Clinical epigenetics 7, 1-12, 2015 | 80 | 2015 |
Novel risk genes for systemic lupus erythematosus predicted by random forest classification JC Almlöf, A Alexsson, J Imgenberg-Kreuz, L Sylwan, C Bäcklin, ... Scientific reports 7 (1), 6236, 2017 | 58 | 2017 |
CopyNumber450kCancer: baseline correction for accurate copy number calling from the 450k methylation array N Marzouka, J Nordlund, CL Bäcklin, G Lönnerholm, AC Syvänen, ... Bioinformatics 32 (7), 1080-1082, 2016 | 27 | 2016 |
DcR3, TFF3, and midkine are novel serum biomarkers in small intestinal neuroendocrine tumors K Edfeldt, K Daskalakis, C Bäcklin, O Norlén, E Tiensuu Janson, G Westin, ... Neuroendocrinology 105 (2), 170-181, 2017 | 23 | 2017 |
Self-tuning density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance CL Bäcklin, C Andersson, MG Gustafsson Pattern Recognition 78, 133-143, 2018 | 17 | 2018 |
DNA methylation signatures predict cytogenetic subtype and outcome in pediatric acute myeloid leukemia (AML) O Krali, J Palle, CL Bäcklin, J Abrahamsson, U Norén-Nyström, H Hasle, ... Genes 12 (6), 895, 2021 | 11 | 2021 |
Computational and statistical analysis of array-based DNA methylation data J Nordlund, C Bäcklin, A Raine Cancer Bioinformatics, 173-191, 2019 | 2 | 2019 |
Developer Friendly and Computationally Efficient Predictive Modeling without Information Leakage: The emil Package for R C Bäcklin, M Gustafsson Journal of Statistical Software 85 (13), 2018 | 2 | 2018 |
Machine Learning Based Analysis of DNA Methylation Patterns in Pediatric Acute Leukemia C Bäcklin Acta Universitatis Upsaliensis, 2015 | 1 | 2015 |
DNA Methylation Signatures Predict Cytogenetic Subtype and Outcome in Pediatric Acute Myeloid Leukemia (AML). Genes 2021, 12, 895 O Krali, J Palle, CL Bäcklin, J Abrahamsson, U Norén-Nyström, H Hasle, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Package ‘xtermStyle’ C Backlin, MC Backlin | | 2015 |
DNA methylation-based prediction of in vitro drug resistance in primary pediatric acute lymphoblastic leukemia patient samples C Bäcklin, E Freyhult, BM Frost, J Palle, R Larsson, AC Syvänen, ... | | 2015 |
DNA Methylation-Based Subtype Prediction for Pediatric Acute Lymphoblastic Leukemia (ALL) J Nordlund, C Bäcklin, V Zachariadis, L Cavelier, J Dahlberg, I Öfverholm, ... Blood 124 (21), 490, 2014 | | 2014 |
Novel Serum Biomarkers in Small Intestinal Neuroendocrine Tumors K Edfeldt, C Bäcklin, E Tiensuu Janson, G Westin, P Hellman, P Stålberg | | 2014 |
DNA hypermethylation signatures for genetic subtypes of pediatric ALL at diagnosis and relapse J Nordlund, C Bäcklin, P Wahlberg, S Busche, EC Berglund, ML Eloranta, ... | | 2012 |