Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Max Pfeffer"'
Autor:
Francesco Reggiani, Zeinab El Rashed, Mariangela Petito, Max Pfeffer, Anna Morabito, Enrica Teresa Tanda, Francesco Spagnolo, Michela Croce, Ulrich Pfeffer, Adriana Amaro
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 3, p 1796 (2024)
Uveal melanoma (UM) is the most common primary intraocular malignancy with a limited five-year survival for metastatic patients. Limited therapeutic treatments are currently available for metastatic disease, even if the genomics of this tumor has bee
Externí odkaz:
https://doaj.org/article/1ae127d58fc04e7ab59bda0994b5bea0
Publikováno v:
Biomedicines, Vol 10, Iss 12, p 3240 (2022)
There is a growing number of multi-domain genomic datasets for human tumors. Multi-domain data are usually interpreted after separately analyzing single-domain data and integrating the results post hoc. Data fusion techniques allow for the real integ
Externí odkaz:
https://doaj.org/article/4b8863af320c46cd83b420cd81d5e22c
Publikováno v:
SIAM Journal on Scientific Computing. 43:A586-A608
In this work, the task to find a simultaneous low rank approximation of several lowest eigenpairs of a matrix-valued symmetric operator is considered. This problem arises, for instance, in the dens...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ac9995296e78bda2833b86fb9696ca5
https://doi.org/10.1137/19m1308384
https://doi.org/10.1137/19m1308384
Publikováno v:
Calcolo : a quarterly on numerical analysis and theory of computation 59(2), 24 (2022). doi:10.1007/s10092-022-00462-9
Calcolo : a quarterly on numerical analysis and theory of computation 59(2), 24 (2022). doi:10.1007/s10092-022-00462-9
Published by Springer Italia, Milano
Published by Springer Italia, Milano
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8433dfa52eaaa7f623dd6993f8670c4
https://doi.org/10.1007/s10092-022-00462-9
https://doi.org/10.1007/s10092-022-00462-9
Publikováno v:
Biomedicines; Volume 10; Issue 12; Pages: 3240
There is a growing number of multi-domain genomic datasets for human tumors. Multi-domain data are usually interpreted after separately analyzing single-domain data and integrating the results post hoc. Data fusion techniques allow for the real integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::474214d13e0a1e34178d96a09ceae6fa
https://doi.org/10.3390/biomedicines10123240
https://doi.org/10.3390/biomedicines10123240
In this paper, we present modifications of the iterative hard thresholding (IHT) method for recovery of jointly row-sparse and low-rank matrices. In particular, a Riemannian version of IHT is considered which significantly reduces computational cost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c73f8487e1cf9462b231d8e41f5419aa
In recent years, the consensual view of rural society has been challenged by theorists identifying the conflict, exploitation, and power relations in rural society. Beyond this theoretical challenge, empirical studies of the sociology of agriculture
Matrix congruence extends naturally to the setting of tensors. We apply methods from tensor decomposition, algebraic geometry and numerical optimization to this group action. Given a tensor in the orbit of another tensor, we compute a matrix which tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d78860f2c282129d6990d43924898f97
http://arxiv.org/abs/1809.01588
http://arxiv.org/abs/1809.01588
Publikováno v:
Cancers
Volume 11
Issue 10
Cancers, Vol 11, Iss 10, p 1434 (2019)
Volume 11
Issue 10
Cancers, Vol 11, Iss 10, p 1434 (2019)
Uveal melanoma (UM) is a rare cancer that is well characterized at the molecular level. Two to four classes have been identified by the analyses of gene expression (mRNA, ncRNA), DNA copy number, DNA-methylation and somatic mutations yet no factual i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3209fc88bf5b9963b5dd3f933d2f97b0
https://doi.org/10.3390/cancers11101434
https://doi.org/10.3390/cancers11101434