Results 131 to 140 of about 1,461,923 (295)

Active constrained clustering by examining spectral eigenvectors

, 2005
This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examining Spectral eigenvectorS (AC-CESS) derived from a similarity matrix.
Kiri L. Wagstaff, Marie desJardins, Qianjun Xu   +2 more
core   +1 more source

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

Spectral Matching through Data Compression [PDF]

, 2011
This paper proposes to use compression-based similarity measures to cluster spectral signatures on the basis of their similarities. Such universal distances estimate the shared information between two objects by comparing their compression factors ...
Avbelj, Janja, Reinartz, Peter, Müller, Rupert, Cerra, Daniele, Bieniarz, Jakub   +4 more
core  

Recent insights into the molecular mechanism of ubiquinol oxidation by cytochrome bc1

FEBS Open Bio, EarlyView.
The review reflects on the mechanism of the catalytic reaction in cytochrome bc1: the electron bifurcation that involves the separation of two electrons derived from the quinol oxidation to opposite sides of the enzyme across the membrane. This review summarizes the long‐standing effort to understand the mechanism of quinol oxidation catalyzed by ...
Anna Wójcik‐Augustyn, Artur Osyczka, Marcin Sarewicz   +2 more
wiley   +1 more source

Density Adjusted Spectral Clustering Algorithm Based on Neighborhood Standard Deviation

工程科学与技术
Objective Clustering involves partitioning given data into multiple classification clusters without requiring knowledge of the true labels. In other words, clustering is an unsupervised learning process that ensures that samples within the same cluster ...
Xiaoyu GUO, Jinjin LIU, Yajun CHEN, Haojie LI, Peiyan YUAN, Xiaoyan ZHAO   +5 more
doaj  

Characterization of the key membrane protein cytochrome Cyc2 from Ghiorsea bivora

FEBS Open Bio, EarlyView.
This study reports the first detailed biochemical analysis of Cyc2TAG1_1, a cytochrome protein involved in microbial iron oxidation. We produced and purified this enzyme in E. coli, then measured its iron‐oxidizing efficiency, and characterized its electrical and structural properties.
Josiane Azizi, Alain Dolla, Frauke Baymann, Celine Rommevaux, Latifa Elantak, Helene Gaussier, Matthieu Nouailler   +6 more
wiley   +1 more source

Advancing Spectral Clustering for Categorical and Mixed-Type Data: Insights and Applications

Mathematics
This study focuses on adapting spectral clustering, a numeric data-clustering technique, for categorical and mixed-type data. The method enhances spectral clustering for categorical and mixed-type data with novel kernel functions, showing improved ...
Cinzia Di Nuzzo
doaj   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

Prodromal Lewy Body Disorder Features in REM Sleep Behavior Disorder With Biomarker‐Defined Synucleinopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub, Michele K. York, Roseanne Dobkin, Anuprita R. Nair, Ryan Kurth, David‐Erick Lafontant, Chelsea Caspell‐Garcia, Roy N. Alcalay, Ethan G. Brown, Lana M. Chahine, Christopher Coffey, Tatiana Foroud, Douglas Galasko, Karl Kieburtz, Kenneth Marek, Kalpana Merchant, Brit Mollenhauer, Kathleen L. Poston, Andrew Siderowf, Cristina Simonet, Tanya Simuni, Caroline M. Tanner, Thomas F. Tropea, Aleksandar Videnovic, The Parkinson's Progression Markers Initiative   +24 more
wiley   +1 more source