Results 61 to 70 of about 577,453 (293)

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Curvature of Indoor Sensor Network: Clustering Coefficient

open access: yesEURASIP Journal on Wireless Communications and Networking, 2009
We investigate the geometric properties of the communication graph in realistic low-power wireless networks. In particular, we explore the concept of the curvature of a wireless network via the clustering coefficient. Clustering coefficient analysis is
doaj   +1 more source

The clustering coefficient and community structure of bipartite networks

open access: yes, 2007
Many real-world networks display a natural bipartite structure. It is necessary and important to study the bipartite networks by using the bipartite structure of the data. Here we propose a modification of the clustering coefficient given by the fraction
Albert   +32 more
core   +2 more sources

Statistical Self-Similar Properties of Complex Networks [PDF]

open access: yes, 2006
It has been shown that many complex networks shared distinctive features, which differ in many ways from the random and the regular networks. Although these features capture important characteristics of complex networks, their applicability depends on ...
B. Bollobás   +2 more
core   +2 more sources

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

open access: yesMolecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken   +7 more
wiley   +1 more source

Dynamic Measurement of Iran Interbank Network Stability [PDF]

open access: yesمطالعات تجربی حسابداری مالی, 2020
Entering into the interbank market in order to balance profitability and liquidity risk management, depending on the conditions of short-term activities, banks are required to equip resources through this market or to lend short-term loans to other banks.
Tayebeh Zanganeh   +3 more
doaj   +1 more source

Mean-field theory for clustering coefficients in Barabasi-Albert networks

open access: yes, 2003
We applied a mean field approach to study clustering coefficients in Barabasi-Albert networks. We found that the local clustering in BA networks depends on the node degree.
A. Fronczak   +12 more
core   +1 more source

Families and clustering in a natural numbers network [PDF]

open access: yes, 2003
We develop a network in which the natural numbers are the vertices. We use the decomposition of natural numbers by prime numbers to establish the connections. We perform data collapse and show that the degree distribution of these networks scale linearly
Corso, Gilberto
core   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

open access: yesMolecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix   +13 more
wiley   +1 more source

Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing

open access: yesFrontiers in Human Neuroscience, 2015
We investigate the long-term evolution of degree-degree correlations (assortativity) in functional brain networks from epilepsy patients. Functional networks are derived from continuous multi-day, multi-channel electroencephalographic data, which capture
Christian eGeier   +5 more
doaj   +1 more source

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