From post

Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease.

, , , , , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (6): 2635-2648 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations., , , , , , , , , и 41 other автор(ы). Cell, 148 (1-2): 59--71 (января 2012)Partitioned learning of deep Boltzmann machines for SNP data., , , , и . Bioinform., 33 (20): 3173-3180 (2017)Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information., , , , , и . BMC Bioinform., (2016)Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease., , , , , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (6): 2635-2648 (2021)Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in onco-hematology., , , , , , , , , и 6 other автор(ы). PLoS Comput. Biol., (февраля 2024)Synergy between PI3K signaling and MYC in Burkitt lymphomagenesis, , , , , , , , , и 2 other автор(ы). Cancer cell, 22 (2): 167–179 (2012)