Results 51 to 60 of about 1,846,894 (263)

Halo stochasticity in global clustering analysis

, 2008
In the present work we study the statistics of haloes, which in the halo model determines the distribution of galaxies. Haloes are known to be biased tracer of dark matter, and at large scales it is usually assumed there is no intrinsic stochasticity ...
Cole, Dekel, Dodelson, Gao, Gao, Guzik, Hoekstra, Mandelbaum, Meneux, Merz, Mo, Norberg, Peacock, Pen, Pen, Press, S. Bonoli, Scranton, Seljak, Sheth, Sheth, Spergel, Swanson, Tegmark, Tegmark, Tegmark, U. L. Pen, van den Bosch, Wechsler, Wild, Zehavi, Zhang, Zhang   +32 more
core   +1 more source

Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics [PDF]

, 2013
Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper,
A Su, B Frey, C Nutt, C Rasmussen, C Rasmussen, D Arango, D Jiang, D Singh, David R. J. Snead, E Cooke, Ferdinando Di Cunto, G Brock, J Ihmels, J Yao, K Yeung, Korsuk Sirinukunwattana, L Hubert, L McQuitty, LF Wu, M De Souto, M Eisen, M Shipp, Muhammad F. Bari, Nasir M. Rajpoot, P D'haeseleer, P Laiho, R Neal, R Savage, R Sokal, Richard S. Savage, S Armstrong, S Datta, S Eschrich, S Falcon, S Matsui, S Pomeroy, S Ramaswamy, S Varambally, T Golub, Y Wang   +39 more
core   +4 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Clustering Residents’ Intention to Engage in Water Conservation Initiative: Evidence from the Upstream of West Java, Indonesia

Jurnal Ilmu Lingkungan, 2021
Kawasan hulu daerah aliran sungai telah lama dianggap memainkan peran strategis dalam konservasi air pada lanskap yang kompleks dan dinamis. Sementara banyak studi telah meneliti pentingnya upaya konservasi air, studi yang berfokus pada pengelompokan ...
Prasetyo Nugroho, Apriliyanti Dwi Rahayu, Rany Juliani, Indarto Indarto, Alfian Dwi Cahyo, Nida Ankhoviyya, Edwin Gumilar, Denni Susanto, Adi Nugroho   +8 more
doaj   +1 more source

Android Malware Clustering through Malicious Payload Mining

, 2017
Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party ...
I Santos, J Crussell, J Kim, J Leskovec, K Rieck, M Sebastián, S Hanna, U Bayer   +7 more
core   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker, Sarah W. Alexander, Lisa M. Jacola, Kimberly A. Buff, Kyobin Hwang, Elham Hashemi, Gregory Stoddard, Lindsay A. Jibb   +7 more
wiley   +1 more source

The Temporal and Spatial Evolution Characteristics and Driving Factors of Ecosystem Service Bundles in Anhui Province, China

Land
Identifying ecosystem service bundles and their long-term evolutionary characteristics is essential for the overall enhancement of regional ecosystem services, as well as the division and management of functional areas, providing a basis for decision ...
Zhongjian Mei, Cheng Li, Jie Zhao, Zixuan Li, Kaiyi Chen, Xin Huang, Zhiyue Zhao   +6 more
doaj   +1 more source

Neighborhood Selection for Thresholding-based Subspace Clustering

, 2014
Subspace clustering refers to the problem of clustering high-dimensional data points into a union of low-dimensional linear subspaces, where the number of subspaces, their dimensions and orientations are all unknown. In this paper, we propose a variation
Agustsson, Eirikur, Bölcskei, Helmut, Heckel, Reinhard   +2 more
core   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source