Data Sheet 3_Robust reference gene selection in Norway spruce: essential for real-time quantitative PCR across different tissue, stress and developmental conditions.docx by Vivek Vikram Singh (16010390)

“…Our results highlight ubiquitin-protein ligase (SP1), conserved oligomeric Golgi complex (COG7), and tubby-like F-box protein (TULP6) as the most stable reference genes, while succinate dehydrogenase (SDH5) and heat shock protein 90 (HSP90) were the least stable under various experimental conditions. …”

Data Sheet 1_Robust reference gene selection in Norway spruce: essential for real-time quantitative PCR across different tissue, stress and developmental conditions.docx by Vivek Vikram Singh (16010390)

“…Our results highlight ubiquitin-protein ligase (SP1), conserved oligomeric Golgi complex (COG7), and tubby-like F-box protein (TULP6) as the most stable reference genes, while succinate dehydrogenase (SDH5) and heat shock protein 90 (HSP90) were the least stable under various experimental conditions. …”

Data Sheet 4_Robust reference gene selection in Norway spruce: essential for real-time quantitative PCR across different tissue, stress and developmental conditions.xlsx by Vivek Vikram Singh (16010390)

“…Our results highlight ubiquitin-protein ligase (SP1), conserved oligomeric Golgi complex (COG7), and tubby-like F-box protein (TULP6) as the most stable reference genes, while succinate dehydrogenase (SDH5) and heat shock protein 90 (HSP90) were the least stable under various experimental conditions. …”

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> by Li Yang (13558573)

“…Each approach was run using both the Additive Benefit Function (ABF) and Core-Area Zonation (CAZ) algorithms.…”

Data Sheet 6_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 8_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Image 1_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.tif by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 7_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 1_CU Cilia – an application for image analysis by machine learning – reveals significance of cysteine cathepsin K activity for primary cilia of human thyroid epithelial... by Maren Rehders (2879318)

“…Introduction<p>Cysteine cathepsins K and L are crucial for proper thyroid function in mice. Inhibition of cysteine peptidases in rodent thyroid epithelial cells in vitro results in loss of primary cilia, highlighting the significance of proteolysis for cilia maintenance.…”

Data Sheet 4_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 2_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 5_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 1_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.xlsx by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Data Sheet 3_Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.csv by Ge Jin (347352)

“…However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. …”

Bayesian Calibration of the 40K Decay Scheme and its implications for 40K-based geochronology by John Carter (14649908)

“…It is assumed that the the covariance in a measured R-value to both the FCs age and total decay constant is zero. …”

Data Sheet 1_Identification of prognostic subtypes and the role of FXYD6 in ovarian cancer through multi-omics clustering.docx by Boyi Ma (18594832)

“…Subsequently, the function of FXYD Domain-Containing Ion Transport Regulator 6 (FXYD6) in OC was analyzed through gene knockdown and overexpression, and the mechanism by which it affects the functions of OC was explored.…”

Data Sheet 2_Identification of prognostic subtypes and the role of FXYD6 in ovarian cancer through multi-omics clustering.docx by Boyi Ma (18594832)

“…Subsequently, the function of FXYD Domain-Containing Ion Transport Regulator 6 (FXYD6) in OC was analyzed through gene knockdown and overexpression, and the mechanism by which it affects the functions of OC was explored.…”

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…Ion channel-related genes were extracted from microarray datasets and analyzed for differential expression and functional relevance to AF pathology. Machine learning algorithms (LASSO and SVM) were used to identify signature genes from ion channels in AF, followed by drug-enrichment analysis to explore potential therapeutic options.…”

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…Ion channel-related genes were extracted from microarray datasets and analyzed for differential expression and functional relevance to AF pathology. Machine learning algorithms (LASSO and SVM) were used to identify signature genes from ion channels in AF, followed by drug-enrichment analysis to explore potential therapeutic options.…”

Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…Ion channel-related genes were extracted from microarray datasets and analyzed for differential expression and functional relevance to AF pathology. Machine learning algorithms (LASSO and SVM) were used to identify signature genes from ion channels in AF, followed by drug-enrichment analysis to explore potential therapeutic options.…”