Torbjörn Nordling

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Andreas TjärnbergCenter for Genomics and Systems Biology, NYUVerifierad e-postadress på nyu.edu
Sven NelanderProfessor at Uppsala UniversityVerifierad e-postadress på igp.uu.se
Erik SonnhammerProfessor of Bioinformatics, DBB Stockholm University, Science for Life LaboratoryVerifierad e-postadress på scilifelab.se
Janne KoljonenUniversity of VaasaVerifierad e-postadress på uva.fi
Alander J*Professor of Production Automation, University of VaasaVerifierad e-postadress på uwasa.fi
Daniel MorganHarvard Medical SchoolVerifierad e-postadress på Channing.Harvard.edu
Rebecka JörnstenProfessor of Biostatistics and Applied Statistics, University of Gothenburg, ChalmersVerifierad e-postadress på chalmers.se
Tobias AbeniusPhD Student, ChalmersVerifierad e-postadress på chalmers.se
Chris SanderHarvard Medical School, Broad Institute, Dana-Farber Cancer Institute, Memorial Sloan KetteringVerifierad e-postadress på sanderlab.org
Peter GennemarkResearcher at AstraZenecaVerifierad e-postadress på astrazeneca.com
Umberto CelanoAssociate Professor, Arizona State UniversityVerifierad e-postadress på asu.edu
Thomas HantschelimecVerifierad e-postadress på imec.be
Kristof ParedisimecVerifierad e-postadress på imec.be
J.G. (Ivan) BuijnstersTU Delft - 3mE (The Netherlands)Verifierad e-postadress på tudelft.nl
Deniz SeçilmişKarolinska InstitutetVerifierad e-postadress på ki.se
Lena Claesson-WelshUppsala UniversityVerifierad e-postadress på igp.uu.se
Petri VälisuoPost Doctoral Researcher, University of VaasaVerifierad e-postadress på uwasa.fi
Akira FunahashiProfessor of Systems Biology, Keio UniversityVerifierad e-postadress på bio.keio.ac.jp
Noriko F Hiroi, 広井賀子Professor, Kanagawa Institute of Technology/Visiting Researcher, Keio UniversityVerifierad e-postadress på bio.keio.ac.jp
Wei-Sheng WuProfessor of Electrical Engineering, National Cheng Kung UniversityVerifierad e-postadress på mail.ncku.edu.tw

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Torbjörn Nordling

National Cheng Kung University

Verifierad e-postadress på kth.se - Startsida

Artificial Intelligence Machine Learning Systems Biology Automatic Control System Identification


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	104	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	78	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	49	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	33	2018
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
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
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	14	2015
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	13	2020
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	13	2018
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	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
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	12	2019
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	12	2017
On sparsity as a criterion in reconstructing biochemical networks TEM Nordling, EW Jacobsen IFAC Proceedings Volumes 44 (1), 11672-11678, 2011	12	2011
LASSIM—A network inference toolbox for genome-wide mechanistic modeling R Magnusson, GP Mariotti, M Köpsén, W Lövfors, DR Gawel, R Jörnsten, ... PLoS computational biology 13 (6), e1005608, 2017	11	2017
Near infrared wavelength relevance detection of ultraviolet radiation-induced erythema JT Alander, A Autere, O Kanniainen, J Koljonen, P Välisuo Journal of Near Infrared Spectroscopy 16 (3), 233-241, 2008	10	2008
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	10	2007
Melanooman diagnosointi spektriä optimoimalla TEM Nordling, J Koljonen, J Nyström, I Bodén, B Lindholm-Sethson, ... Lääkäripäivien, 2006	10	2006

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