Optimal Sparsity Criteria for Network Inference. - Andreas Tjärnberg; Torbjörn E. M. Nordling; Matthew Studham; Erik L. L. Sonnhammer (J. Comput. Biol., 2013)

Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments. - Torbjörn E. M. Nordling (2013)

Functional association networks as priors for gene regulatory network inference. - Matthew Studham; Andreas Tjärnberg; Torbjörn E. M. Nordling; Sven Nelander; Erik L. L. Sonnhammer (Bioinform., 2014)

Identification of Biomarkers and Signatures in Protein Data. - Torbjörn E. M. Nordling; Narendra Padhan; Sven Nelander; Lena Claesson-Welsh (e-Science, 2015)

LASSIM - A network inference toolbox for genome-wide mechanistic modeling. - Rasmus Magnusson; Guido Pio Mariotti; Mattias Köpsén; William Lövfors; Danuta R. Gawel; Rebecka Jörnsten; Jörg Linde; Torbjörn E. M. Nordling; Elin Nyman; Sylvie Schulze; Colm E. Nestor; Huan Zhang; et al. (PLoS Comput. Biol., 2017)

HRPDviewer: human ribosome profiling data viewer. - Wei-Sheng Wu; Yu-Xuan Jiang 001; Jer-Wei Chang; Yu-Han Chu; Yi-Hao Chiu; Yi-Hong Tsao; Torbjörn E. M. Nordling; Yan Yuan Tseng; Joseph T. Tseng (Database J. Biol. Databases Curation, 2018)

YHMI: a web tool to identify histone modifications and histone/chromatin regulators from a gene list in yeast. - Wei-Sheng Wu; Hao-Ping Tu; Yu-Han Chu; Torbjörn E. M. Nordling; Yan Yuan Tseng; Hung-Jiun Liaw (Database J. Biol. Databases Curation, 2018)

A generalized framework for controlling FDR in gene regulatory network inference. - Daniel Morgan; Andreas Tjärnberg; Torbjörn E. M. Nordling; Erik L. L. Sonnhammer (Bioinform., 2019)

Towards course of disease based epidemiological modelling: motivation and computational optimization. - Yu-Heng Wu; Torbjörn E. M. Nordling (COMPSAC, 2023)

An analysis of ℙ-invariance and dynamical compensation properties from a control perspective. - Akram Ashyani; Yu-Heng Wu; Huan-Wei Hsu; Torbjörn E. M. Nordling (CoRR, 2023)

A survey and classification of face alignment methods based on face models. - Jagmohan Meher; Héctor Allende-Cid; Torbjörn E. M. Nordling (CoRR, 2023)

ThermalProGAN: A sequence-based thermally stable protein generator trained using unpaired data. - Hui-Ling Huang; Chong-Heng Weng; Torbjörn E. M. Nordling; Yi-Fan Liou (J. Bioinform. Comput. Biol., 2023)

Unsupervised Skin Feature Tracking with Deep Neural Networks. - Jose Ramon Chang; Torbjörn E. M. Nordling (CoRR, 2024)

Age Prediction Using Resting-State Functional MRI. - Jose Ramon Chang; Zai-Fu Yao; Shulan Hsieh; Torbjörn E. M. Nordling (Neuroinformatics, 2024)

Ideal adaptive control in biological systems: an analysis of $ mathbb {P}$-invariance and dynamical compensation properties. - Akram Ashyani; Yu-Heng Wu; Huan-Wei Hsu; Torbjörn E. M. Nordling (BMC Bioinform., 2024)

Knowledge Distillation: Enhancing Neural Network Compression with Integrated Gradients. - David E. Hernandez; Jose Ramon Chang; Torbjörn E. M. Nordling (CoRR, 2025)

Skin feature point tracking using deep feature encodings. - Jose Ramon Chang; Torbjörn E. M. Nordling (Int. J. Mach. Learn. Cybern., 2025)

Model compression using knowledge distillation with integrated gradients. - David E. Hernandez; Jose Ramon Chang; Torbjörn E. M. Nordling (CoRR, 2025)

3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images. - Esteban Román Catafau; Torbjörn E. M. Nordling (CoRR, 2025)

ChatGPT struggles to recognize reproducible science. - Jose Ramon Chang; Torbjörn E. M. Nordling (Knowl. Inf. Syst., 2025)