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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 +17 more
wiley +1 more source

Simultaneous clustering analysis with molecular docking in network pharmacology for type 2 antidiabetic compounds [PDF]

, 2017
The database of drug compounds and human proteins plays a very important role in identifying the protein target and the compound in drug discovery. Recently, a network pharmacology approach was established by updating the research paradigm from the ...
Afendi, Farit Mochamad +5 more
core +1 more source

Document clustering using sample weighting [PDF]

, 2007
Clustering algorithm based on Sample weighting has been noticed recently. In this paper, a novel sample weighting clustering algorithm is presented based on K-Means and fuzzy C-Means algorithm.
Su, Xinning, Zhang, Chengzhi, Zhou, Dingmin +2 more
core +1 more source

Association of dietary habits with general and abdominal obesity in Korean children and adolescents: cluster analysis of nationwide population survey data

Frontiers in Endocrinology
IntroductionChildhood obesity is a growing global health concern, but few studies have investigated dietary factors specifically related to obesity and abdominal obesity in children and adolescents.
Ye-Jin Yun +5 more
doaj +1 more source

Research on energy spectrum anomaly detection method for state control radiation environmental monitoring based on LOF algorithm [PDF]

Nuclear Technology and Radiation Protection
The state-controlled radiation environment automatic monitoring stations are important facilities for monitoring the quality and trends of the radiation environment.
Yunlong Niu +4 more
doaj +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source

Clustering in an Object-Oriented Environment [PDF]

This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way.
Mia Hubert, Peter Rousseeuw, Anja Struyf
core

Studying the evolution of software through software clustering and concept analysis [PDF]

, 2001
This thesis describes an investigation into the use of software clustering and concept analysis techniques for studying the evolution of software. These techniques produce representations of software systems by clustering similar entities in the system ...
Davey, John William
core

Object trajectory clustering via tensor analysis

, 2009
In this paper we present a new video object trajectory clustering algorithm, which allows us to model and analyse the patterns of object behaviors based on the extracted features using tensor analysis.
Tao, Dacheng +15 more
core +1 more source

A clustering-based repeating earthquakes identification method and its application

地球与行星物理论评
Events with highly similar waveforms and rupturing of the same fault patch are interpreted as repeating earthquakes, which can be applied in detecting deep fault deformation, characterizing fault behavior, and assess seismic hazards.
Yafen Huang +4 more
doaj +1 more source

machine learning