Results 121 to 130 of about 1,264,517 (335)

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Semi-Supervised Fuzzy Clustering Based on Prior Membership

Mathematics
Traditional fuzzy clustering algorithms construct sample partition criteria solely based on similarity measures but lack an effective representation of prior membership information, which limits further improvements in clustering accuracy.
Yinghan Hong, Guoxiang Zhong, Jiahao Lian, Guizhen Mai, Honghong Zhou, Pinghua Chen, Junliu Zhong, Hui Cao   +7 more
doaj   +1 more source

Parametric and Semiparametric Model‐Based Estimates of the Finite Population Mean for Two‐Stage Cluster Samples with Item Nonresponse [PDF]

, 2007
Ying Yuan, Roderick J. A. Little
openalex   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Multiple Sample Clustering

, 2019
The clustering algorithms that view each object data as a single sample drawn from a certain distribution, Gaussian distribution, for example, has been a hot topic for decades. Many clustering algorithms: such as k-means and spectral clustering are proposed based on the single sample assumption.
Wang, Xiang, Liu, Tie
openaire   +2 more sources

INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling [PDF]

, 2002
Gert Thijs, Yves Moreau, Frank De Smet, Janick Mathys, Magali Lescot, Stéphane Rombauts, Pierre Rouzé, Bart De Moor, Kathleen Marchal   +8 more
openalex   +1 more source

Looking for Traces of Nonminimally Coupled Dark Matter in the X-COP Galaxy Clusters Sample [PDF]

, 2023
Giovanni Gandolfi, Balakrishna S. Haridasu, Stefano Liberati, Andrea Lapi   +3 more
openalex   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Whole-Genome Sequences of a Cluster of 14 Unidentified Related Veillonella sp. Strains from Human Clinical Samples and Type Strains of 3 Veillonella Validated Species [PDF]

, 2019
Fabien Aujoulat, Michel R. Popoff, Laure Diancourt, Alexis Criscuolo, Hélène Jean‐Pierre, Estelle Jumas‐Bilak, Hélène Marchandin   +6 more
openalex   +1 more source

The Case for Task Sampling based Learning for Cluster Job Scheduling [PDF]

, 2021
Akshay Jajoo, Yuanming Hu, Xiaojun Lin, Nan Deng   +3 more
openalex   +1 more source