Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B). by Yaling Hu (11648397)

GO analysis bubble plot for module 1. by Zongjin Li (38031)

Subjects:

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Differences between average F1 obtained for PFP-WGAN and DeepGO-Seq for the GO terms in each height ( and ). by Seyyede Fatemeh Seyyedsalehi (10196767)

Subjects:

BNA Neuromarker scores as a function of LEDD. by Sharon Hassin-Baer (420354)

Subjects: “…Cell Biology…”

F1 obtained for PFP-WGAN and DeepGO-Seq for GO terms as a function of number of available positive training samples. by Seyyede Fatemeh Seyyedsalehi (10196767)

Subjects:

GO analysis bubble plot for other four modules. by Zongjin Li (38031)

Subjects:

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

The GO molecular function analyses of 28 common genes of OA and OB. by Qiu Li (2127361)

Subjects:

The most significant GO terms and p-values for each of the five modules. by Zongjin Li (38031)

Subjects:

Comparison of BLAST, DeepGO-Seq and PFP-WGAN on dataset 1. by Seyyede Fatemeh Seyyedsalehi (10196767)

Subjects:

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Cell-type marker genes and functional enrichment analysis. by Hailin Li (453832)

Subjects:

GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups. by Jie Chu (293795)

Subjects:

The specific GO and KEGG enrichment results of DEGs are integrated into S3 Appendix. by Guanghao Xin (17583227)

Subjects: “…Cell Biology…”

Genes that contribute to PCA and GO terms of enriched and differentially expressed genes. GO, gene ontology; PCA, principal component analysis. by Tomokatsu Udagawa (11675636)

Subjects:

The results of GO and KEGG analysis in merging datasets. by Wenlong Kuang (20485167)

Subjects:

The GO and KEGG enrichment analysis results of 350 DEGs are shown as circle plots. by Guanghao Xin (17583227)

Subjects: “…Cell Biology…”

Gene Ontology (GO) terms in the two modules. by Ravinder Sharma (13154079)

Subjects: