Two-dimensional visualization of cell clustering in the Pollen dataset before and after imputation using multiple algorithms. حسب Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Petropoulos dataset before and after imputation using multiple algorithms. حسب Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Guo2 dataset before and after imputation using multiple algorithms. حسب Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the iPSC dataset before and after imputation using multiple algorithms. حسب Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the CellType dataset before and after imputation using multiple algorithms. حسب Siyi Huang (8562174)

Calculating the TAMs-associated score. حسب Changquan Shang (21647625)

Benchmarking results under a 60% dropout rate. حسب Siyi Huang (8562174)

Cell clustering in Siletti dataset before and after imputation. حسب Siyi Huang (8562174)

Table 3_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx حسب Aram Safrastyan (13386663)

"…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …"

Table 1_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.docx حسب Aram Safrastyan (13386663)

"…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …"

Table 2_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx حسب Aram Safrastyan (13386663)

"…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …"

Table 4_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx حسب Aram Safrastyan (13386663)

"…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …"

Field-Portable Technology for Illicit Drug Discrimination via Deep Learning of Hybridized Reflectance/Fluorescence Spectroscopic Fingerprints حسب Alexander Power (20739472)

"…Using this device, we demonstrate the discrimination of 11 benzodiazepines from “street” tablets that include bulking agents and other excipients. We show the detection of complex mixtures of multiple drugs, with the key example of nitazene + benzodiazepine (metonitazene + bromazolam), fentanyl + xylazine, and heroin + nitazene (etonitazene) combinations. …"

Supplementary information_CEAM حسب Ehsan Pishva (20540561)

"…Existing computational tools for detecting cell type-specific DNAm changes are often limited by the accuracy of cell type deconvolution algorithms. …"