CGH-Explorer: a program for analysis of array-CGH data. - Ole Christian Lingjærde; Lars O. Baumbusch; Knut Liestøl; Ingrid Kristine Glad; Anne-Lise Børresen-Dale (Bioinform., 2005)

The influence of missing value imputation on detection of differentially expressed genes from microarray data. - Ida Scheel; Magne Aldrin; Ingrid Kristine Glad; Ragnhild Sørum; Heidi Lyng; Arnoldo Frigessi (Bioinform., 2005)

Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases. - Clelia Di Serio; Danilo Pellin; Alessandro Ambrosi; Ingrid Kristine Glad; Arnoldo Frigessi (CIBB, 2011)

Estimated Comparative Integration Hotspots Identify Different Behaviors of Retroviral Gene Transfer Vectors. - Alessandro Ambrosi; Ingrid Kristine Glad; Danilo Pellin; Claudia Cattoglio; Fulvio Mavilio; Clelia Di Serio; Arnoldo Frigessi (PLoS Comput. Biol., 2011)

The Genomic HyperBrowser: an analysis web server for genome-scale data. - Geir Kjetil Sandve; Sveinung Gundersen; Morten Johansen; Ingrid Kristine Glad; Krishanthi Gunathasan; Lars Holden; Marit Holden; Knut Liestøl; Ståle Nygård; Vegard Nygaard; Jonas Paulsen; Halfdan Rydbeck; et al. (Nucleic Acids Res., 2013)

Monotone splines lasso. - Linn Cecilie Bergersen; Kukatharmini Tharmaratnam; Ingrid Kristine Glad (Comput. Stat. Data Anal., 2014)

Coordinates and intervals in graph-based reference genomes. - Knut D. Rand; Ivar Grytten; Alexander Johan Nederbragt; Geir Storvik; Ingrid Kristine Glad; Geir Kjetil Sandve (BMC Bioinform., 2017)

Efficient on-line anomaly detection for ship systems in operation. - Andreas Brandsæter; Erik Vanem; Ingrid Kristine Glad (Expert Syst. Appl., 2019)

Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes. - Ivar Grytten; Knut D. Rand; Alexander Johan Nederbragt; Geir Storvik; Ingrid Kristine Glad; Geir Kjetil Sandve (PLoS Comput. Biol., 2019)

Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis. - Stefania Salvatore; Knut Dagestad Rand; Ivar Grytten; Egil Ferkingstad; Diana Domanska; Lars Holden; Marius Gheorghe; Anthony Mathelier; Ingrid Kristine Glad; Geir Kjetil Sandve (Briefings Bioinform., 2020)

Explainable Artificial Intelligence: How Subsets of the Training Data Affect a Prediction. - Andreas Brandsæter; Ingrid Kristine Glad (CoRR, 2020)

Tailored graphical lasso for data integration in gene network reconstruction. - Camilla Lingjærde; Tonje Lien; Ørnulf Borgan; Helga Bergholtz; Ingrid Kristine Glad (BMC Bioinform., 2021)

Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks. - Clara B. Salucci; Azzeddine Bakdi; Ingrid Kristine Glad; Erik Vanem; Riccardo De Bin (CoRR, 2021)

Testbed Scenario Design Exploiting Traffic Big Data for Autonomous Ship Trials Under Multiple Conflicts With Collision/Grounding Risks and Spatio-Temporal Dependencies. - Azzeddine Bakdi; Ingrid Kristine Glad; Erik Vanem (IEEE Trans. Intell. Transp. Syst., 2021)

Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features. - Lars H. B. Olsen; Ingrid Kristine Glad; Martin Jullum; Kjersti Aas (J. Mach. Learn. Res., 2022)

A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them. - Lars Henry Berge Olsen; Ingrid Kristine Glad; Martin Jullum; Kjersti Aas (CoRR, 2023)

A comparative study of methods for estimating model-agnostic Shapley value explanations. - Lars Henry Berge Olsen; Ingrid Kristine Glad; Martin Jullum; Kjersti Aas (Data Min. Knowl. Discov., 2024)

Shapley values for cluster importance. - Andreas Brandsæter; Ingrid Kristine Glad (Data Min. Knowl. Discov., 2024)

XAI in hindsight: Shapley values for explaining prediction accuracy. - Andreas Brandsæter; Ingrid Kristine Glad (Expert Syst. Appl., 2025)