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Neuroimage|March 22, 2019
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is importantMichele Donini, João M Monteiro, Massimiliano Pontil, et al.Neuroimage|December 3, 2014
Sparse network-based models for patient classification using fMRIMaria J Rosa, Liana Portugal, Tim Hahn, et al.Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|August 11, 2022
Canonical Correlation Analysis and Partial Least Squares for Identifying Brain-Behavior Associations: A Tutorial and a Comparative StudyAgoston Mihalik, James Chapman, Rick A Adams, et al.Cell Systems|January 8, 2025
Contrastive learning of T cell receptor representationsYuta Nagano, Andrew G T Pyo, Martina Milighetti, et al.Plos One|November 28, 2012
Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)Steffen Grünewälder, Femke Broekhuis, David Whyte Macdonald, et al.Peptides|April 2, 2017
Glucagon-like petide-2 acts on colon cancer myofibroblasts to stimulate proliferation, migration and invasion of both myofibroblasts and cancer cells via the IGF pathwayMarianne Shawe-Taylor, J Dinesh Kumar, Whitney Holden, et al.Optics Letters|October 30, 2009
Sigmoid neural transfer function realized by percolationD Pignon, P J Parmiter, J K Slack, et al.Neuroimage|July 5, 2011
Patient classification as an outlier detection problem: an application of the One-Class Support Vector MachineJanaina Mourão-Miranda, David R Hardoon, Tim Hahn, et al.Bioinformatics (Oxford, England)|January 12, 2017
Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoiresMattia Cinelli, Yuxin Sun, Katharine Best, et al.Frontiers in Immunology|April 29, 2017
Specificity, Privacy, and Degeneracy in the CD4 T Cell Receptor Repertoire Following ImmunizationYuxin Sun, Katharine Best, Mattia Cinelli, et al.Pageof 7