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Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models.

, , , , , , and . BMC Med. Inf. & Decision Making, 19 (1): 13:1-13:12 (2019)

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YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae., , , , , , , , , and 3 other author(s). Nucleic Acids Research, 36 (Database-Issue): 132-136 (2008)A parallel algorithm for the extraction of structured motifs., , , and . SAC, page 147-153. ACM, (2004)Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks., , and . UAI, page 622-631. AUAI Press, (2015)Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis., , , , and . Algorithms for Molecular Biology, (2012)Efficient Extraction of Structured Motifs Using Box-Links., , , and . SPIRE, volume 3246 of Lecture Notes in Computer Science, page 267-268. Springer, (2004)RISOTTO: Fast Extraction of Motifs with Mismatches., , , and . LATIN, volume 3887 of Lecture Notes in Computer Science, page 757-768. Springer, (2006)Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis., , and . LOD (1), volume 12565 of Lecture Notes in Computer Science, page 125-136. Springer, (2020)GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge., and . Algorithms for Molecular Biology, (2011)Hybrid learning of Bayesian multinets for binary classification., , and . Pattern Recognition, 47 (10): 3438-3450 (2014)Polynomial-Time Algorithm for Learning Optimal BFS-Consistent Dynamic Bayesian Networks., and . Entropy, 20 (4): 274 (2018)