Results 71 to 80 of about 2,028,925 (265)

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

open access: yesMolecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung   +17 more
wiley   +1 more source

Sparse least trimmed squares regression. [PDF]

open access: yes
Sparse model estimation is a topic of high importance in modern data analysis due to the increasing availability of data sets with a large number of variables. Another common problem in applied statistics is the presence of outliers in the data.
Alfons, Andreas   +2 more
core  

Efficient least-squares basket-weaving

open access: yes, 2012
We report on a novel method to solve the basket-weaving problem. Basket-weaving is a technique that is used to remove scan-line patterns from single-dish radio maps. The new approach applies linear least-squares and works on gridded maps from arbitrarily
Flöer, L., Kraus, A., Winkel, B.
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova   +25 more
wiley   +1 more source

On estimating gravity anomalies: A comparison of least squares collocation with least squares techniques [PDF]

open access: yes
The least squares collocation algorithm for estimating gravity anomalies from geodetic data is shown to be an application of the well known regression equations which provide the mean and covariance of a random vector (gravity anomalies) given a ...
Argentiero, P., Lowrey, B.
core   +1 more source

Evolutionary dynamics of the chloroplast genome in Daphne (Thymelaeaceae): comparative analysis with related genera and insights into phylogenetics

open access: yesFEBS Open Bio, EarlyView.
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah   +8 more
wiley   +1 more source

Antibiofilm activity of a chionodracine‐derived peptide by NMR‐based metabolomics of cell‐free supernatant of Acinetobacter baumannii clinical strains

open access: yesFEBS Open Bio, EarlyView.
KHS‐Cnd peptide is able to impair biofilm formation and disaggregate mature biofilms in Acinetobacter baumannii clinical isolates. Differences in extracellular metabolites reflect changes in biofilm metabolism due to KHS‐Cnd treatment. Among the differentially represented extracellular metabolites upon KHS‐Cnd treatment, the significantly altered ...
Fernando Porcelli   +9 more
wiley   +1 more source

Jackknifing estimated weighted least squares [PDF]

open access: yes
Statistical ...
Karremans, P.   +2 more
core   +1 more source

A Note on Separable Nonlinear Least Squares Problem

open access: yes, 2011
Separable nonlinear least squares (SNLS)problem is a special class of nonlinear least squares (NLS)problems, whose objective function is a mixture of linear and nonlinear functions.
Al-Mushayt, Omar Saeed, Gharibi, Wajeb
core   +1 more source

Least Squares Problems with Absolute Quadratic Constraints

open access: yesJournal of Applied Mathematics, 2012
This paper analyzes linear least squares problems with absolute quadratic constraints. We develop a generalized theory following Bookstein's conic-fitting and Fitzgibbon's direct ellipse-specific fitting.
R. Schöne, T. Hanning
doaj   +1 more source

Home - About - Disclaimer - Privacy