Network modeling of the transcriptional effects of copy number aberrations in glioblastoma R Jörnsten, T Abenius, T Kling, L Schmidt, E Johansson, TEM Nordling, ... Molecular systems biology 7 (1), 486, 2011 | 109 | 2011 |
A review of genetic algorithms in near infrared spectroscopy and chemometrics: past and future J Koljonen, TEM Nordling, JT Alander Journal of Near Infrared Spectroscopy 16 (3), 189-197, 2008 | 81 | 2008 |
Functional association networks as priors for gene regulatory network inference ME Studham, A Tjärnberg, TEM Nordling, S Nelander, ELL Sonnhammer Bioinformatics 30 (12), i130-i138, 2014 | 51 | 2014 |
Mesoscopic physical removal of material using sliding nano-diamond contacts U Celano, FC Hsia, D Vanhaeren, K Paredis, TEM Nordling, JG Buijnsters, ... Scientific reports 8 (1), 2994, 2018 | 37 | 2018 |
Case Study: Taiwan’s pathway into a circular future for buildings BJA Van Bueren, M Leenders, TEM Nordling IOP Conference Series: Earth and Environmental Science 225 (1), 012060, 2019 | 22 | 2019 |
Interampatteness–a generic property of biochemical networks TEM Nordling, EW Jacobsen IET systems biology 3 (5), 388-403, 2009 | 20 | 2009 |
Wavelength selection by genetic algorithms in near infrared spectra for melanoma diagnosis TEM Nordling, J Koljonen, J Nyström, I Bodén, B Lindholm-Sethson, ... 3rd European Medical & Biological Engineering Conference (EMBEC’05), 2005 | 20 | 2005 |
Genetic algorithms as a tool for wavelength selection TEM Nordling, J Koljonen, JT Alander, P Geladi STeP-2004, Proceedings of the 11th Finnish Artificial Intelligence …, 2004 | 19 | 2004 |
Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data D Seçilmiş, T Hillerton, D Morgan, A Tjärnberg, S Nelander, TEM Nordling, ... NPJ systems biology and applications 6 (1), 37, 2020 | 18 | 2020 |
Optimal sparsity criteria for network inference A Tjärnberg, TEM Nordling, M Studham, ELL Sonnhammer Journal of Computational Biology 20 (5), 398-408, 2013 | 18 | 2013 |
A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection S Fourati, A Talla, M Mahmoudian, JG Burkhart, R Klén, R Henao, T Yu, ... Nature communications 9 (1), 4418, 2018 | 16 | 2018 |
Avoiding pitfalls in L 1-regularised inference of gene networks A Tjärnberg, TEM Nordling, M Studham, S Nelander, ELL Sonnhammer Molecular Biosystems 11 (1), 287-296, 2015 | 16 | 2015 |
High-throughput screening and machine learning for the efficient growth of high-quality single-wall carbon nanotubes ZH Ji, L Zhang, DM Tang, CM Chen, TEM Nordling, ZD Zhang, CL Ren, ... Nano research, 1-6, 2021 | 15 | 2021 |
GeneSPIDER–gene regulatory network inference benchmarking with controlled network and data properties A Tjärnberg, DC Morgan, M Studham, TEM Nordling, ELL Sonnhammer Molecular BioSystems 13 (7), 1304-1312, 2017 | 15 | 2017 |
A generalized framework for controlling FDR in gene regulatory network inference D Morgan, A Tjärnberg, TEM Nordling, ELL Sonnhammer Bioinformatics 35 (6), 1026-1032, 2019 | 14 | 2019 |
On sparsity as a criterion in reconstructing biochemical networks TEM Nordling, EW Jacobsen IFAC Proceedings Volumes 44 (1), 11672-11678, 2011 | 14 | 2011 |
HRPDviewer: human ribosome profiling data viewer WS Wu, YX Jiang, JW Chang, YH Chu, YH Chiu, YH Tsao, TEM Nordling, ... Database 2018, bay074, 2018 | 13 | 2018 |
The inconvenience of data of convenience: computational research beyond post-mortem analyses CA Azencott, T Aittokallio, S Roy, T Norman, S Friend, G Stolovitzky, ... Nature methods 14 (10), 937-938, 2017 | 13 | 2017 |
High sensitivity isoelectric focusing to establish a signaling biomarker for the diagnosis of human colorectal cancer N Padhan, TEM Nordling, M Sundström, P Åkerud, H Birgisson, P Nygren, ... BMC cancer 16, 1-14, 2016 | 13 | 2016 |
Deduction of intracellular sub-systems from a topological description of the network TEM Nordling, N Hiroi, A Funahashi, H Kitano Molecular BioSystems 3 (8), 523-529, 2007 | 12 | 2007 |