Search alternatives:
selection algorithm » detection algorithms (Expand Search), prediction algorithms (Expand Search)
multiple flow » multiple low (Expand Search), multiphase flow (Expand Search), multiple co (Expand Search)
selection algorithm » detection algorithms (Expand Search), prediction algorithms (Expand Search)
multiple flow » multiple low (Expand Search), multiphase flow (Expand Search), multiple co (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
Bootstrap-based inference for multiple mean-variance changepoint models
Published 2024“…<p>Identifying multiple change points in the mean and/or variance is crucial across various fields, including finance and quality control. …”
-
16
-
17
Workflow of the flow cytometry experiment and the software-based analysis.
Published 2025“…In the present study, we determined the populations CD11b+Ly6G+F4/80- granulocytes, CD11b+Ly6G-F4/80+ macrophages, CD11b+Ly6G+F4/80+ MDSCs, CD19+ B-cells, CD3+ T-cells, CD3+CD8+ cytotoxic T-cells, CD3+CD4+ Thelper-cells as of interest for us. (6) The program calculates multiple subclusters based on AI/machine learning-algorithms. …”
-
18
-
19
Table 1_Prognostic value of multi-PLD ASL radiomics in acute ischemic stroke.docx
Published 2025“…Features were selected using least absolute shrinkage and selection operator regression, and three models were developed: a clinical model, a CBF radiomics model, and a combined model, employing eight ML algorithms. …”
-
20
Data Sheet 1_A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles.pdf
Published 2025“…</p>Methods<p>All available plasma samples (N=126) and variables were collected prior to surgery. EVs were detected and characterized by flow cytometry-immunostaining. …”