Author

Torbjörn E. M. Nordling

Observed names: Nordling, Torbjörn, Nordling, Torbjörn E. M., Nordling, Torbjörn E.M., Nordling, Torbjörn E. M., T E M Nordling, T.E.M. Nordling, Torbjorn E. M. Nordling, Torbjörn Em Nordling, Torbjörn Nordling, Torbjörn E M Nordling, Torbjörn E.M. Nordling, Torbjörn Nordling, Torbjörn E M Nordling, Torbjörn E. M. Nordling

Institution: National Cheng Kung University

Observed institutions: Uppsala University, Stockholm University, Science for Life Laboratory, University of Vaasa, KTH Royal Institute of Technology, Umeå University, National Cheng Kung University

ORCID: 0000-0003-4867-6707

Observed ORCID: 0000-0003-4867-6707

OpenAlex ID: A5039574191

Network modeling of the transcriptional effects of copy number aberrations in glioblastoma

2011 · Rebecka Jörnsten, Tobias Abenius, et al. · Molecular Systems Biology · 89

A Review of Genetic Algorithms in near Infrared Spectroscopy and Chemometrics: Past and Future

2008 · Janne Koljonen, Torbjörn E.M. Nordling, et al. · Journal of Near Infrared Spectroscopy · 65

Mesoscopic physical removal of material using sliding nano-diamond contacts

2018 · Umberto Celano, Feng-Chun Hsia, et al. · Scientific Reports · 43

Functional association networks as priors for gene regulatory network inference

2014 · Matthew E. Studham, Andreas Tjärnberg, et al. · Bioinformatics · 43

High-throughput screening and machine learning for the efficient growth of high-quality single-wall carbon nanotubes

2021 · Zhong-Hai Ji, Lili Zhang, et al. · Nano Research · 31

Case Study: Taiwan’s pathway into a circular future for buildings

2019 · B J A van Bueren, M A A M Leenders, et al. · IOP Conference Series Earth and Environmental Science · 25

GeneSPIDER – gene regulatory network inference benchmarking with controlled network and data properties

2017 · Andreas Tjärnberg, Daniel C Morgan, et al. · Molecular BioSystems · 23

Avoiding pitfalls in L1-regularised inference of gene networks

2014 · Andreas Tjärnberg, Torbjörn E M Nordling, et al. · Molecular BioSystems · 23

Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data

2020 · Deniz Seçilmiş, Thomas Hillerton, et al. · npj Systems Biology and Applications · 22

Optimal Sparsity Criteria for Network Inference

2013 · Andreas Tjärnberg, Torbjörn E.M. Nordling, et al. · Journal of Computational Biology · 21

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

2018 · Slim Fourati, Aarthi Talla, et al. · Nature Communications · 20

Knowledge of the perturbation design is essential for accurate gene regulatory network inference

2022 · Deniz Seçilmiş, Thomas Hillerton, et al. · Scientific Reports · 16

Perturbation-based gene regulatory network inference to unravel oncogenic mechanisms

2020 · Daniel Morgan, Matthew Studham, et al. · Scientific Reports · 15

A generalized framework for controlling FDR in gene regulatory network inference

2018 · Daniel Morgan, Andreas Tjärnberg, et al. · Bioinformatics · 15

HRPDviewer: human ribosome profiling data viewer

2018 · Wei-Sheng Wu, Yu-Xuan Jiang, et al. · Database · 13

High sensitivity isoelectric focusing to establish a signaling biomarker for the diagnosis of human colorectal cancer

2016 · Narendra Padhan, Torbjörn E. M. Nordling, et al. · BMC Cancer · 12

Interampatteness – a generic property of biochemical networks

2009 · T.E.M. Nordling, E.W. Jacobsen · IET Systems Biology · 12

LASSIM—A network inference toolbox for genome-wide mechanistic modeling

2017 · Rasmus Magnusson, Guido Pio Mariotti, et al. · PLoS Computational Biology · 10

On Sparsity as a Criterion in Reconstructing Biochemical Networks

2011 · Torbjörn E.M. Nordling, Elling W. Jacobsen · IFAC Proceedings Volumes · 9

Deduction of intracellular sub-systems from a topological description of the network

2007 · Torbjörn E M Nordling, Noriko Hiroi, et al. · Molecular BioSystems · 8

GeneSPIDER2: large scale GRN simulation and benchmarking with perturbed single-cell data

2024 · Mateusz Garbulowski, Thomas Hillerton, et al. · NAR Genomics and Bioinformatics · 7

Age Prediction Using Resting-State Functional MRI

2024 · Jose Ramon Chang, Zai-Fu Yao, et al. · Neuroinformatics · 6

Realization and direct observation of five normal and parametric modes in silicon nanowire resonators by in situ transmission electron microscopy

2019 · Feng-Chun Hsia, Dai-Ming Tang, et al. · Nanoscale Advances · 6

Taiwan on track to end third COVID-19 community outbreak

2021 · Torbjörn E. M. Nordling, Yu-Heng Wu · medRxiv · 5

Genetic Algorithms as a Tool for Wavelength Selection

2004 · Torbjörn E. M. Nordling, Janne Koljonen, et al. · Aaltodoc (Aalto University) · 5

Works count: 91

Citation count: 578

H-index: 14

I10-index: 18