a, Anti-correlation of gene expression between <i>dmdR1</i> and its predicted regulon. Left: Pearson correlation coefficients (PCCs) between <i>dmdR1</i> and all genes with a DmdR1 position weight matrix (PWM) score greater than 15 in their regulatory region. The vertical dashed line marks the refined PWM score threshold of 22.875. The horizontal dotted lines mark PCC = ±0.43, corresponding to an adjusted <i>p</i>-value of 0.05. Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score.... by Hannah E. Augustijn (10773096)

“…Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score. …”

Gene expression levels of <i>CB1R</i>, <i>CB2R</i>, and <i>MAGL</i> in KA-injected mice treated with compound 4f. by Naoto Arimura (416442)

Channel pruning process. by Zhongjian Xie (4633099)

“…<p>After channel pruning, the algorithm model experiences a significant reduction in parameters and computational load, yet it may incur a decrease in accuracy. …”

Inhibition of AurA or HDAC6 by inhibitors preserves ciliary structure during porcine CoVs infection. by Tenghan Zhuang (22238809)

Frequency trajectories of iSNVs that fluctuated (Top) and their positions on the genome (Bottom) (patients A-I). by Lele Zhao (532080)

DataSheet_1_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_2_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_3_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_4_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

Variables name and variable measurement. by Jinyuan Li (5927267)

“…Using the medical insurance records from 2017 to 2022, we evaluated the impact of the DRG system on medical costs, service efficiency and healthcare quality.…”

Complexity comparison of different models. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

Flow of operation of improved KMA. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

Improved DAE based on LSTM. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

Autoencoder structure. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

Effects of Ni²⁺ on mitochondrial (A), glycolytic (B), and total (C) ATP production rates in BMDM. by Jesse Corbin (21736578)

“…A double dagger (‡) indicates a significant decrease of mitochondrial ATP production rates (slope = −0.79 ± 0.21, <i>R</i>^<i>2</i> = 0.40, <i>F</i>(1, 22)=15.0, <i>p </i>< 0.001) from 0 to 72 ppm Ni²⁺. …”

Experimental design and procedures. by Anita B. Frohlich (20660615)

GSRS was positively associated with CD8⁺ T cell infiltration levels in KIRC tissues. by Yu Zhang (12946)

Pan-cancer analyses of GSRS. by Yu Zhang (12946)

Five <i>Sox10</i> ECs. by Hongjoo An (21703199)