S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

Subjects:

S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

S5 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

Subjects:

Analysis of the correlation between pharyngeal microbiomics, metabolomics and clinical indicators between OC and HC. by Feng Gao (3548)

Subjects:

Kaplan–Meier cumulative survival curve for infants exposed and not exposed to HIV. by Samuel Sendagala (21417164)

Subjects:

Metabolome KEGG enrichment analysis of serum in Omicron variant cases and recovered cases. by Feng Gao (3548)

Subjects:

Mortality dataset used in analysis. by Samuel Sendagala (21417164)

Subjects:

Untargeted metabolomic profiling of sera from Omicron variant cases of the discovery cohort. by Feng Gao (3548)

Subjects:

S8 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

Subjects:

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Path diagram of the 2-factor CFA analysis. by Vincenza Tarantino (182506)

Subjects:

Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

Subjects:

Out-of-sample Test Results of the Drop-off Decision Models: (a) ROC Curve of the First Forced Drop-off Decision Models; (b) ROC Curve for Second and More Forced Parking and Drop-of... by Fangyi Yang (18867853)

Subjects:

Data Sheet 2_An exploratory analysis of bezisterim treatment associated with decreased biological age acceleration, and improved clinical measure and biomarker changes in mild-to-m... by Christopher L. Reading (21236861)

Data Sheet 1_An exploratory analysis of bezisterim treatment associated with decreased biological age acceleration, and improved clinical measure and biomarker changes in mild-to-m... by Christopher L. Reading (21236861)

Categorisation of districts based on type of correlation observed and results of Moran’s local test for spatial correlation of coefficients and lags. by Gabriel Carrasco-Escobar (794055)