Results 101 to 110 of about 128,871,322 (303)
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Colour photograph of the completed Curve which looms large next to the older buildings of the ...
Hyde, Colin;
core
Area Under the Receiver Characteristics Curve (AUROC).
Discriminatory performance of models A: the area under the receiver characteristics curve (AUROC) of men; B: the area under the receiver characteristics curve (AUROC) of women.
Geneviève Gariépy (495491) +10 more
core +1 more source
On the areas under the oscillatory curves
We prove that the third-order Emden–Fowler-type equation has oscillatory non-extendable solutions with specific behavior of antiderivative.
openaire +2 more sources
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Colour photograph of the interior of the Curve Theatre, Leicester, showing lighting equipment in the stage ...
Barnes, Amy
core
Area under receiver operating curve.
Area under receiver operating curve.
Brian Mullin (6376964) +6 more
core +1 more source
Area under the Curve Greater Than z3.55 [PDF]
FIGURE 6.5. Area under the curve greater than z = 3.55. (“Area under the Curve Greater Than z3.55” by Judy Schmitt is licensed under CC BY-NC-SA 4.0.)https://irl.umsl.edu/oer-img/1062/thumbnail ...
Schmitt, Judy
core
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source

