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1. Gradient-based methods for solving non-negative matrix tri-factorization problem
Janez Povh, Rok Hribar, 2020

Keywords: non-negative matrix factorization, p-matching problem, data co-clustering, patients sub-typing, drug repurposing, high-performance computing
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2. Matrix factorization-based data fusion for gene function prediction in baker's yeast and slime mold
Marinka Zitnik, Blaz Zupan, 2014

Keywords: gene function prediction, data fusion, matrix factorization, Gene Ontology annotation, membrane protein, ribosomal protein
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3. Towards a data-integrated cell
Noël Malod-Dognin, Julia Petschnigg, Sam F. L. Windels, Janez Povh, Harry Hemmingway, Robin Ketteler, Nataša Pržulj, 2019, original scientific article

Keywords: non-negative matrix factorization, data integration, cancer-related genes, pan-cancer genes, integrated cell, biological networks
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4. Scalable matrix factorization for data fusion
Andrej Čopar, 2019, doctoral dissertation

Keywords: Machine learning, bioinformatics, matrix factorization, data fusion
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5. Incremental matrix factorization for simultaneous learning from parallel data streams
Martin Jakomin, 2019, doctoral dissertation

Keywords: machine learning, matrix factorization, data streams, data fusion, incremental learning, recommender systems, synthetic data generator
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