Here, we report the molecular programmes and lineage progression patterns controlling human OA pathogenesis using single-cell RNA sequencing (scRNA-seq). Methods We performed unbiased ...

We performed an exome-wide association study comparing the distribution of moderate to high impact variants in 36 tolerant patients, selected for genetic homogeneity using principal component analysis ...

In the case of the GSE11691 dataset, Principal Component Analysis (PCA ... we employed the “WGCNA” R package to perform hierarchical clustering. First, we clustered the samples and removed the ...

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical ...

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical ...

BACKGROUND: Despite the high morbidity and mortality of heart failure with preserved ejection fraction (HFpEF), treatment ...

She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience ... They are based on the Fibonacci sequence. Fibonacci retracement levels are among the go-to tools for ...

Finally, we showcase the applicability of eFPA to single-cell analysis using human single-cell RNA-seq data. Our work establishes that ... Initial tests using Principal Components Analysis (PCA) ...

This project is a Loan Prediction App developed as part of a hackathon at IIT Gandhinagar. The app allows users to input their financial details (e.g., income, loan amount, CIBIL score) and receive ...

In data analysis, outliers are data points that significantly differ from other observations. They can arise due to variability in the measurement or they may indicate experimental errors.