Significant associations in GWAS. by Dai Nogimura (21445649)

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eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

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Chemicals that decrease the expression levels of significant TWAS genes negatively associated with UF. by Gayeon Kim (671557)

The levels of NF-κB related inflammatory factors, TERT expression and telomerase relative length are significantly increased in the ovarian tissue of PCOS rats. by Haoxuan Xue (19949764)

Volume distribution and sentiment of positive, negative, and neutral tweets. by Yuqi Zhang (286958)

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Descriptive statistics for pandemic-related variables used in the models. by Stacey Giroux (13607651)

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Tissue-specific profiling of the photoreceptor nuclear transcriptome reveals significant changes in early and late aging. by Juan Jauregui-Lozano (12024868)

“…Only genes that were identified as being differentially expressed in any condition relative to D10 are shown. Z-scores are calculated based on normalized counts obtained using DESeq2, and the heatmap is divided into five clusters based on the dendrogram. …”

Raw data used for graph (related to Fig 1). by Mohammad Ali Baziyar (19353257)

“…Besides, the expression of <i>CCNE1</i> gene was significantly suppressed. It seems this drug was unable to reduce the expression of <i>MDM2</i> gene significantly in triple negative (MDA-MB-231) cancer cells; however, a decrease was observed in luminal A (MCF-7) cells. …”

Decomposition of the Total Effect of statistically significant key independent variables on PTSD trajectories into Direct and Indirect Effects using the KHB method among postpartum... by Marelign Tilahun Malaju (12401482)

The relative importance by dominance analysis. by Lijuan Zhao (1387689)

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Overexpressions of the AB domain of RPA70 and the β-barrel domain of Ku70 significantly decrease HBoV1 replication in HAE-ALI. by Kang Ning (59789)

The Negative results of potential factors. by Mingkun Yu (465162)

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Pandemic-related change in use events and recovery involvement. by Megayn E. Lewandowski (18599144)

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Resilience and pandemic-related change in use and recovery activities. by Megayn E. Lewandowski (18599144)

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Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER. by Yuqi Zhang (286958)

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Types of changes in GSWB and related R-G land patterns in Jinan. by Shuang Lu (504608)

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Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Impulsivity and pandemic-related change in alcohol and substance use in active users. by Megayn E. Lewandowski (18599144)

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Resilience and pandemic-related change in alcohol/drug use in active users. by Megayn E. Lewandowski (18599144)

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Pandemic-related change in use of alcohol and illicit substances in active users. by Megayn E. Lewandowski (18599144)

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