Schematic illustration of spike detection and sequence detection. by Tjitse van der Molen (20391106)

Multiple Sequence Alignment of IgV domains in fasta format. by Caesar Tawfeeq (21087272)

Multiple Sequence Alignment of IgI domains in fasta format. by Caesar Tawfeeq (21087272)

Multiple Sequence Alignment of IgCad (Cadherin) domains in fasta format. by Caesar Tawfeeq (21087272)

Multiple Sequence Alignment of IgC1 domains in fasta format. by Caesar Tawfeeq (21087272)

Multiple Sequence Alignment of IgFN3 domains in fasta format. by Caesar Tawfeeq (21087272)

Multiple Sequence Alignment of IgC2 domains in fasta format. by Caesar Tawfeeq (21087272)

Multiple sequence alignment of the <i>Strumpellin</i> coding sequences performed by Geneious v.3.6.2 program. by Yusr Saadi-Ben Aoun (20469385)

The randomness detection value of LCS and SCS. by Ye Tao (326899)

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

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

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

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

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

An illustration of the Deepwalk algorithm operation involves a random walk on the graph, resulting in a “walk” sequence, which is then utilized to construct a graph. by Xiaobing Deng (1622233)

Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. by Yanis Asloudj (19711636)

“…To address that issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …”

Revised 1: Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. by Yanis Asloudj (19711636)

“…To address this issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …”

Bootstrap-based inference for multiple mean-variance changepoint models by Yang Li (7082)

“…We introduce a novel technique that detects change points for the mean and/or variance of a noisy sequence and constructs confidence intervals for both the mean and variance of the sequence. …”

Sequence patterns of Ig-domain variants in WebLogo format. by Caesar Tawfeeq (21087272)

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