Ingrid K. Glad

发表

Efficient on-line anomaly detection for ship systems in operation

Andreas Brandsæter, Erik Vanem, Ingrid K. Glad, 2019, Expert Syst. Appl..

Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases

Ingrid K. Glad, Arnoldo Frigessi, Clelia Di Serio, 2011, CIBB.

Monotone splines lasso

Ingrid K. Glad, Linn Cecilie Bergersen, Kukatharmini Tharmaratnam, 2013, Comput. Stat. Data Anal..

Coordinates and Intervals in Graph-based Reference Genomes

Geir Kjetil Sandve, Ingrid K. Glad, Geir Storvik, 2016 .

Some Themes in High-Dimensional Statistics

Marina Vannucci, Peter Bühlmann, Sylvia Richardson, 2016 .

Safe preselection in lasso-type problems by cross-validation freezing

Sylvia Richardson, Arnoldo Frigessi, Ingrid K. Glad, 2012 .

The influence of missing value imputation on detection of differentially expressed genes from microarray data

Ida Scheel, Ingrid K. Glad, Arnoldo Frigessi, 2005, Bioinform..

Graph Peak Caller: calling ChIP-Seq Peaks on Graph-based Reference Genomes

Geir Kjetil Sandve, Ingrid K. Glad, Geir Storvik, 2018 .

Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections

Ingrid K. Glad, Martin Tveten, I. Glad, 2019, 1908.02029.

Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014

Marina Vannucci, Sylvia Richardson, Arnoldo Frigessi, 2016 .

The Genomic HyperBrowser: an analysis web server for genome-scale data

Finn Drabløs, Geir Kjetil Sandve, Vegard Nygaard, 2013, Nucleic Acids Res..

Robustness of metrics for assessing similarity of genomic datasets

Stefania Salvatore, Geir Kjetil Sandve, Ingrid K. Glad, 2018 .

Model-based estimation of transcript concentrations from spotted microarray data

Marit Holden, Ingrid K. Glad, Arnoldo Frigessi, 2004 .

CGH-Explorer: a program for analysis of array-CGH data

Ingrid K. Glad, Knut Liestøl, Ole Christian Lingjærde, 2005, Bioinform..

Explainable Artificial Intelligence: How Subsets of the Training Data Affect a Prediction pdf

Ingrid K. Glad, Andreas Brandsæter, 2020, ArXiv.

Bayesian projection of the acquired immune deficiency syndrome epidemic

Susan R. Wilson, Niels Keiding, Ingrid K. Glad, 2002 .

Estimated Comparative Integration Hotspots Identify Different Behaviors of Retroviral Gene Transfer Vectors

Ingrid K. Glad, Arnoldo Frigessi, Clelia Di Serio, 2011, PLoS Comput. Biol..

Coordinates and intervals in graph-based reference genomes

Geir Kjetil Sandve, Ingrid K. Glad, Geir Storvik, 2017, BMC Bioinformatics.

Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration

Sylvia Richardson, Ingrid K. Glad, Arnoldo Frigessi, 2016 .

Tailored graphical lasso for data integration in gene network reconstruction

Ingrid K. Glad, Helga Bergholtz, Ørnulf Borgan, 2021, BMC Bioinform..

Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks pdf

Azzeddine Bakdi, Erik Vanem, Ingrid K. Glad, 2021, ArXiv.

Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions

Erik Vanem, Ingrid K. Glad, Riccardo De Bin, 2021, Journal of Energy Storage.

Mean-squared error of kernel estimators for finite values of the sample size

Ingrid K. Glad, Nils Lid Hjort, N. G. Ushakov, 2007 .

Handling realistic assumptions in hypothesis testing of 3D co-localization of genomic elements

Geir Kjetil Sandve, Eivind Hovig, Ingrid K. Glad, 2013, Nucleic acids research.

Correction of Density Estimators that are not Densities

Ingrid K. Glad, Nils Lid Hjort, N. G. Ushakov, 2003 .

Edge-Preserving Smoothers for Image Processing: Rejoinder

Fred Godtliebsen, James Stephen Marron, Ingrid K. Glad, 1998 .

Gene Dosage, Expression, and Ontology Analysis Identifies Driver Genes in the Carcinogenesis and Chemoradioresistance of Cervical Cancer

Marit Holden, Ingrid K. Glad, Heidi Lyng, 2009, PLoS genetics.

Parametrically Guided Non‐parametric Regression

Ingrid K. Glad, I. Glad, 1998 .

Bayesian process-based modeling of two-channel microarray experiments: estimating absolute mRNA concentrations

Marit Holden, Ingrid K. Glad, Arnoldo Frigessi, 2006 .

A Bayesian approach to synthetic magnetic resonance imaging

Ingrid K. Glad, Giovanni Sebastiani, I. Glad, 1995 .

Genome-wide estimation of transcript concentrations from spotted cDNA microarray data

Marit Holden, Ingrid K. Glad, Arnoldo Frigessi, 2005, Nucleic acids research.