Genes with significant DIR display unique BP enrichment patterns. by David O. Holland (12542869)

Subjects:

Clinical significance of the prognostic index. by Yue-ling Peng (14636780)

Subjects:

RPKM, TPMs and <i>q</i>-values of significant differentially expressed genes. by Alexandra Ketcham (492291)

Overlap between significant genes in the Knight ADRC, MSBB (BM36), ROSMAP (DLPFC) cohorts, and synaptic genes. by Abdallah M. Eteleeb (13866743)

Subjects:

Table_1_Decreased Serum Brain-Derived Neurotrophic Factor Concentrations 72 Hours Following Marathon Running.DOCX by Astrid Roeh (11136600)

“…</p><p>Results: Linear mixed-model analyses revealed a main effect of time for BDNF concentrations over the study period (F_(4,89.389) = 4.296, p = 0.003). Values decreased significantly with the lowest values at 72 h after the marathon compared to baseline (p = 0.025), a finding that was more pronounced in the larger male cohort.…”

Knockdown efficiency in the KK and GD libraries revealed GD lines have significantly higher knockdown efficiency than the KK lines. by Shengqian Xia (9178986)

Significant differentially expressed genes in LCLs-WT compared with LCLs-dBNRF1 in RNA-seq analyses. by Ken Sagou (1945318)

Subjects:

Dysregulated genes are significantly common across cohorts from multiple brain regions. by Abdallah M. Eteleeb (13866743)

Subjects:

Pathway analysis for significant DEGs. by Yang Wu (66682)

Subjects:

GO analysis for significant DEGs. by Yang Wu (66682)

Subjects:

MAGMA genome-wide significant genes. by Aodán Laighneach (17692183)

“…DEGS for both males and females were significantly overrepresented in gene ontologies related to synaptic structure and function, especially the post-synapse. …”

Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

Outcome variable descriptive statistics. by Kristen S. Regenauer (13842386)

Subjects:

Demographic & job characteristics. by Kristen S. Regenauer (13842386)

Subjects:

Training feedback. by Kristen S. Regenauer (13842386)

Subjects:

Study flow. by Kristen S. Regenauer (13842386)

Subjects:

Image_4_Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance.TIF by Yongfu Xiong (4705381)

Image_2_Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance.TIF by Yongfu Xiong (4705381)

Table_4_Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance.XLS by Yongfu Xiong (4705381)

Table_3_Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance.XLS by Yongfu Xiong (4705381)