Results 61 to 70 of about 1,651,191 (277)

Improving the Evaluation and Management of Transfusion‐Related Iron Overload in Children, Adolescents, and Young Adults Following Cancer Treatment or Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell, Allison Close, Guoli Zhou, Troy C. Quigg   +3 more
wiley   +1 more source

Robust Resilience Blocks Detection Problem in Dynamic Social Networks

IEEE Access
Finding a stable community in dynamically developing networks is crucial. In this study, we introduce an innovative concept of resilience, originally rooted in infrastructure networks, and merge it with the distinctive features of k-core graphs to define
Yuxin Gao, Jianming Zhu, Peikun Ni, Guoqing Wang   +3 more
doaj   +1 more source

Local method for detecting communities [PDF]

Physical Review E, 2005
Submitted to Phys.
Bagrow, Jim, Bollt, Erik
openaire   +3 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Cloud Service Community Detection for Real-World Service Networks Based on Parallel Graph Computing

IEEE Access, 2019
Heterogeneous information networks (e.g. cloud service relation networks and social networks), where multiple-typed objects are interconnected, can be structured by big graphs. A major challenge for clustering in such big graphs is the complex structures
Yu Lei, Philip S. Yu
doaj   +1 more source

Information dynamics algorithm for detecting communities in networks

, 2011
The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, such as psychology and social sciences, we have addressed the issue of ...
Albert, Andrea Guazzini, Blatt, de Freitas, Dongen, Dorogovtesev, Emanuele Massaro, Forster, Fortunato, Franco Bagnoli, Gigerenzer, Gigerenzer, Lancichinetti, Lusseau, Murray, Newman, Newman, Nicosia, Palla, Pietro Lió, Scott, Simon, Tulving, Wasserman, Zachary   +24 more
core   +1 more source

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Community detection algorithms: a comparative analysis

, 2009
Uncovering the community structure exhibited by real networks is a crucial step towards an understanding of complex systems that goes beyond the local organization of their constituents.
Fortunato, Santo, Lancichinetti, Andrea
core   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

COMMUNITY DETECTION IN NETWORKS

International Journal of Bifurcation and Chaos, 2010
The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the rest of the network. In this article, we introduce a new method for community detection in complex networks.
Dorso, Claudio Oscar, Medus, A. D.
openaire   +2 more sources