Functional enrichment analysis of periodontitis-related DEGs in AAA and identification of candidate key hub genes through Protein-Protein Interaction (PPI) network were conducted. by Zhifeng Wu (303016)

“…<p>(A-C) Gene Ontology (GO) functional analysis of periodontitis-related DEGs in AAA, including Biological Processes (BP), Cellular Components (CC), and Molecular Functions (MF). …”

Isologs, function and residue information of 12 key proteins in MPV replication. by Huaichuan Duan (6458477)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …”

Table 2_Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond mitochondrial function.xlsx by Xiaoyuan Meng (22261234)

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed using Metascape and WebGestalt. A protein–protein interaction (PPI) network was constructed through the STRING database and visualized with Cytoscape. …”

Table 1_Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond mitochondrial function.xlsx by Xiaoyuan Meng (22261234)

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed using Metascape and WebGestalt. A protein–protein interaction (PPI) network was constructed through the STRING database and visualized with Cytoscape. …”

Table 3_Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond mitochondrial function.xlsx by Xiaoyuan Meng (22261234)

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed using Metascape and WebGestalt. A protein–protein interaction (PPI) network was constructed through the STRING database and visualized with Cytoscape. …”

PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. by Gursimran Singh (575288)

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Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

Change of ITAE objective function for en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

(a) The network topology analysis to identify the optimum soft threshold power. by Devi Soorya Narayana Sasikumar (22331743)

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Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. by Gursimran Singh (575288)

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SHAP values for chromatin-associated proteins profiled in integrative model from Hughes et al. [21] and Wang et al. [22] (A) Heatmap of absolute mean SHAP values for different algo... by Kashyap Chhatbar (9515350)

(a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms. by Yu Liu (6938)

The image of the Aekley function. by Zhengyu Xu (8550660)

Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”

Performance comparison of different algorithms. by Zhenggang Wang (1753657)

“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”

SHAP values for chromatin-associated proteins profiled in Hughes et al. [21] and Wang et al. [22] (A) Heatmap of absolute mean SHAP values for different algorithms DeepSHAP, Kernel... by Kashyap Chhatbar (9515350)

FaaSr: Serverless Workflows in R by Renato Figueiredo (3684430)

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Performance of algorithms compared to a smaller <i>RNN.</i> by Swathi Anil (17382903)

a-h: The expression differences of the 8 hub genes in 18 immune infiltrating cells. by Devi Soorya Narayana Sasikumar (22331743)

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