Variational Autoencoder for Generation of Antimicrobial Peptides by Scott N. Dean (9226649)

“…As seen with peptides and proteins, often evolution produces molecules with a similar function but with variable amino acid composition and structure but diverging from a common ancestor, which can limit sequence diversity. …”

Variational Autoencoder for Generation of Antimicrobial Peptides by Scott N. Dean (9226649)

“…As seen with peptides and proteins, often evolution produces molecules with a similar function but with variable amino acid composition and structure but diverging from a common ancestor, which can limit sequence diversity. …”

Least Bridges Graphs by Richard Frost (14064363)

“…This toolbox was originally created for analysis of values arising in genetic distance measures. The contained algorithms correct errors in commonly used nearest-neighbor and cluster software that are not designed with distances in mind (e.g. nearest-neighbor topology functions currently found in Python, SPSS, etc).…”

DataSheet1_Comprehensive Analysis of the Glycolysis-Related Gene Prognostic Signature and Immune Infiltration in Endometrial Cancer.docx by Xiao Yang (19898)

“…The association between the gene signature and immune function was analyzed based on the “ESTIMATE” and “CIBERSORT” algorithm, which showed the immune and ESTIMATE scores of patients in the high-risk group were lower, while the low immune and ESTIMATE scores were associated with a worse prognosis of patients. …”

Image 1_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif by Wenzhe Li (815057)

“…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …”

Image 3_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif by Wenzhe Li (815057)

“…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …”

Image 2_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif by Wenzhe Li (815057)

“…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …”

Table1_Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning.pdf by Lijuan Liang (4277053)

“…We used the Covarep open-source algorithm to extract a total of 1200 high-level statistical functions for each sample. …”

Image_1_Follistatin-Like 3 Correlates With Lymph Node Metastasis and Serves as a Biomarker of Extracellular Matrix Remodeling in Colorectal Cancer.tif by Chao Yang (174810)

“…Finally, we explored the underlying mechanism of FSTL3-mediated LNM by Gene function annotation and correlation analysis.</p>Results<p>Two immune subgroups, namely Immunity_High and Immunity_Low, were defined among the two CRC cohorts using ssGSEA algorithm, respectively. …”

Table_1_Follistatin-Like 3 Correlates With Lymph Node Metastasis and Serves as a Biomarker of Extracellular Matrix Remodeling in Colorectal Cancer.xlsx by Chao Yang (174810)

“…Finally, we explored the underlying mechanism of FSTL3-mediated LNM by Gene function annotation and correlation analysis.</p>Results<p>Two immune subgroups, namely Immunity_High and Immunity_Low, were defined among the two CRC cohorts using ssGSEA algorithm, respectively. …”

Image_6_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_2_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_8_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_4_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_9_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_7_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_3_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_5_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

Image_1_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

“…We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.…”

DataSheet1_A p53 transcriptional signature in primary and metastatic cancers derived using machine learning.docx by Faeze Keshavarz-Rahaghi (12804474)

“…We suggest that other genes found in this list including GPSM2, OR4N2, CTSL2, SPERT, and RPE65 protein coding genes have yet undiscovered linkages to p53 function. …”