the sequencing adapters were removed from the sequencing reads by using cutadapt (v1.9). Second, the low-quality reads were trimmed by using fqtrim (v0.94) with a sliding-window algorithm. Third, the reads were
To address the skewed of the data in the DSEL, we develop a modification in the k-NN algorithm, named Reduced Minority k-NN (RMkNN), used by the dynamic selection techniques to define the local region of a query sample. Dynamic selection techniques use k-NN to select the samples in the...
49 The mRNAsi was determined through a one-class logistic regression machine learning algorithm, ranging from 0 (no gene expression) to 1 (complete gene expression). Statistical analysis All analysis was generated by R 3.6.2. Kaplan-Meier curves and log rank tests were utilized to assess the ...
In Wardrope et al. (2020), a short diagnostic tool has been developed that exploits an advanced feature selection approach with an iterative algorithm to distinguish epilepsy and psychogenic non-epileptic seizures. With the advent of natural language processing (NLP) models and the spread of pre-...
We used the MetaCell algorithm (STAR Methods) to identify the homogeneous and robust groups of cells based on the cluster-specific expression patterns of the 2,202 most variable genes, resulting in a detailed map of 385 meta cells organized into 8 broad immune cell lineages (Figures 1B, 1C...