Results 101 to 110 of about 27,265,132 (376)

Internal dynamics of the galaxy cluster Abell 545

, 2011
Diffuse radio emission in galaxy clusters, and their connection with cluster mergers, are still debated. We seek to explore the internal dynamics of the radio halo cluster Abell 545.
Abell, Anders, Ashman, Bacchi, Bardelli, Barrena, Barrena, Barrena, Beers, Beers, Beers, Beers, Beers, Bekki, Bell, Bertin, Binggelli, Bird, Biviano, Bonafede, Boschin, Boschin, Boschin, Boschin, Brunetti, Bullock, Buote, Buote, Böhringer, Carlberg, Cassano, Cassano, Cassano, Cassano, Cassano, Cavaliere, Chilingarian, Chilingarian, D. Eckert, Danese, David, den Hartog, Dolag, Dolag, Donnert, Dressler, Dubinsky, Ellingson, Ensslin, Ensslin, Ensslin, Fadda, Fasano, Ferrari, Ferrari, Ferrari, Finoguenov, Fukugita, Giovannini, Giovannini, Girardi, Girardi, Girardi, Girardi, Girardi, Girardi, Goto, Govoni, Hashimoto, Henriksen, Henry, Hoeft, Kalberla, Kennicutt, Kneib, Landolt, Leccardi, Leccardi, Limber, Lin, Liu, Loeb, M. Girardi, M. Rossetti, Malumuth, Markevitch, Markevitch, Mastropietro, Menci, Merritt, Million, Mushotzky, Navarro, Niederste-Ostholt, Nieto, Okabe, Owers, Pinkney, Pisani, Pisani, Quintana, R. Barrena, Ramella, Ramella, Ricker, Rines, Roettiger, Roettiger, Roettiger, Rossetti, Rudick, S. De Grandi, Salinas, Salinas, Sarazin, Sastry, Schlegel, Schneider, Springel, Struble, Struble, The, Tonry, Tribble, van Dokkum, W. Boschin, Wainer, West, White   +128 more
core   +1 more source

Obstructive Sleep Apnea: A Cluster Analysis at Time of Diagnosis

PLoS ONE, 2016
Background The classification of obstructive sleep apnea is on the basis of sleep study criteria that may not adequately capture disease heterogeneity.
S. Bailly, M. Destors, Y. Grillet, Philippe Richard, B. Stach, I. Vivodtzev, J. Timsit, P. Lévy, R. Tamisier, J. Pépin   +9 more
semanticscholar   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Bayes-X: a Bayesian inference tool for the analysis of X-ray observations of galaxy clusters

, 2014
We present the first public release of our Bayesian inference tool, Bayes-X, for the analysis of X-ray observations of galaxy clusters. We illustrate the use of Bayes-X by analysing a set of four simulated clusters at z=0.2-0.9 as they would be observed ...
Feroz, F., Grainge, K. J. B., Hobson, M. P., Olamaie, M., Sanders, J. S., Saunders, R. D. E   +5 more
core   +1 more source

Discriminant Analysis and Clustering: Panel on Discriminant Analysis, Classification, and Clustering

Statistical Science, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gnanadesikan, Ramanathan, Blashfield, Roger K., Breiman, Leo, Dunn, Olive J., Friedman, Jerome H.   +4 more
openaire   +3 more sources

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

How are different clusters of physical activity, sedentary, sleep, smoking, alcohol, and dietary behaviors associated with cardiometabolic health in older adults? A cross-sectional latent class analysis [PDF]

, 2023
Simone J.J.M. Verswijveren, Sara E. Dingle, Alan Donnelly, Kieran Dowd, Nicola D. Ridgers, Brian P. Carson, Patricia M. Kearney, J M Harrington, Stephanie E. Chappel, Cormac Powell   +9 more
openalex   +1 more source

Inter-cluster Filaments of Galaxies Programme: Abundance and Distribution of Filaments in the 2dFGRS Catalogue [PDF]

, 2004
Filaments of galaxies are known to stretch between galaxy clusters at all redshifts in a complex manner. In this Letter, we present an analysis of the frequency and distribution of inter-cluster galaxy filaments selected from the 2dF Galaxy Redshift ...
Drinkwater, K. A. Pimbblet, M. C. Hawkrigg, M. J. Drinkwater   +3 more
core   +2 more sources

Cluster Quality Analysis Using Silhouette Score

International Conference on Data Science and Advanced Analytics, 2020
Clustering is an important phase in data mining. Selecting the number of clusters in a clustering algorithm, e.g. choosing the best value of k in the various k-means algorithms [1], can be difficult.
K. Shahapure, Charles K. Nicholas
semanticscholar   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source