Results 71 to 80 of about 601,118 (351)

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Bounds for the componentwise distance to the nearest singular matrix [PDF]

open access: yes, 1997
The normwise distance of a matrix A to the nearest singular matrix is well known to be equal to ∥A∥/cond(A) for norms subordinate to a vector norm. However, there is no hope for finding a similar formula or even a simple algorithm for computing the ...
Rump, Siegfried M.
core  

Support Values for Genome Phylogenies

open access: yesLife, 2016
We have recently developed a distance metric for efficiently estimating the number of substitutions per site between unaligned genome sequences. These substitution rates are called “anchor distances” and can be used for phylogeny reconstruction.
Fabian Klötzl, Bernhard Haubold
doaj   +1 more source

Classified AGV Material Flow and Layout Data Set for Multidisciplinary Investigation

open access: yesIEEE Access, 2023
Automated Guided Vehicles (AGV) are increasingly used in industry to automate material flow tasks. To efficiently operate systems of AGVs, researchers have proposed many different planning and control methods, e.g., for scheduling, dispatching, and ...
Marvin Sperling   +4 more
doaj   +1 more source

On the relationship between the Hausdorff distance and matrix distances of ellipsoids

open access: yesLinear Algebra and its Applications, 1983
AbstractThe space of ellipsoids may be metrized by the Hausdorff distance or by the sum of the distance between their centers and a distance between matrices. Various inequalities between metrics are established. It follows that the square root of positive semidefinite symmetric matrices satisfies a Lipschitz condition, with a constant which depends ...
Goffin, Jean-Louis, Hoffman, Alan J.
openaire   +2 more sources

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Table S8 - Morphological distance matrix. [PDF]

open access: yes, 2019
Table S8 - Morphological distance ...
Bárbara M.A. Costa (7058012)   +3 more
core   +1 more source

Information Mandala : Statistical Distance Matrix with Clustering [PDF]

open access: yes, 2021
In machine learning, observation features are measured in a metric space to obtain their distance function for optimization. Given similar features that are statistically sufficient as a population, a statistical distance between two probability ...
LU, XIN
core   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau   +8 more
wiley   +1 more source

A cospectral construction for the generalized distance matrix

open access: yesSpecial Matrices
The generalized distance matrix of a graph is a matrix in which the (i,j)\left(i,j)th entry is a function, ff, of the distance between vertex ii and vertex jj.
Friesen Ori   +5 more
doaj   +1 more source

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