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. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

<b>Figures for Protein-Protein interaction (PPI) network of differentially acetylated proteins</b><b> </b><b>by Aspirin during differentiation of THP-1 cell towards macrophage</b> by Zi-Hui Ma (14118552)

“…The PPI network was further analyzed to identify densely interconnected functional clusters/modules using topological clustering algorithms. …”

Data Sheet 1_Accurate informatic modeling of tooth enamel pellicle interactions by training substitution matrices with Mat4Pep.doc by Jeremy Horst Keeper (20458274)

The box plot depicting the differential expression validation of the hub genes in the external dataset GSE90081. by Devi Soorya Narayana Sasikumar (22331743)

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The Venn diagram showing the intersection of common genes between WGCNA and DEFeGs. by Devi Soorya Narayana Sasikumar (22331743)

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The classification report of the generated LASSO, RF, and SVM models. by Devi Soorya Narayana Sasikumar (22331743)

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a-c: (a) The nomogram model developed for the prognostic prediction of hub genes from the study. by Devi Soorya Narayana Sasikumar (22331743)

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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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Illustrative insight into the role of NAMPT and SAT1 in ferroptosis and RA pathogenesis. by Devi Soorya Narayana Sasikumar (22331743)

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

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The coregulatory network analysis of the hub genes from the study. by Devi Soorya Narayana Sasikumar (22331743)

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(a) The plot is visualized to understand the association between the number of trees in our RF model and its error rate. by Devi Soorya Narayana Sasikumar (22331743)

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Research process of our study. by Devi Soorya Narayana Sasikumar (22331743)

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Additional files. by Devi Soorya Narayana Sasikumar (22331743)

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(a) The volcano plot of GSE89408, where the red scatter represents the upregulated genes and the blue scatter represents the downregulated genes. (b) The heatmap of GSE89408. by Devi Soorya Narayana Sasikumar (22331743)

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Multiple sequence alignment of <i>Ov</i>-RAL-2 Glutamine-repeat epitope (GRR) showing identical sequence stretches common to some human proteins. by Derrick Neba Nebangwa (19923731)

Screening of candidate genes via protein–protein interaction (PPI) network analysis and subsequent correlation analysis. A. A PPI network was constructed to investigate the interac... by Xiaoyu Shen (4715430)

Oryza australiensis species-specific gene and protein candidates by Sabrina Morrison (19846869)

“…</p><p dir="ltr">The protein sequence data for both <i>O. australiensis</i> and <i>O. sativa</i> (Osativa323v7 protein file Phytozome). were filtered for the longest isomer and then analysed for orthologous and unique protein clusters within the O. australiensis genome using OrthoVenn3 (parameters: OrthoFinder algorithm, E-value: 1e-2, Inflation value:1.50) (Sun et al., 2023, Emms and Kelly, 2019). …”

Alignment of TSPANs in <i>Entamoeba histolytica</i>. by Han Jiang (195350)

Partial amino acids sequence alignment between <i>Dd</i>interaptin and <i>Eh</i>interaptin and Coiled-coil (CC) structure prediction for <i>Eh</i>interaptin (EHI_148910). by Han Jiang (195350)