We present single-cell interpretation via multikernel learning (SIMLR), an analytic framework
and software which learns a similarity measure from single-cell RNA-seq data in order to …

Data pre-processing consists of a series of steps to transform raw data derived from data
extraction (see Chap. 11) into a “clean” and “tidy” dataset prior to statistical analysis. Research …

Genetic and epigenetic variation, together with transcriptional plasticity, contribute to
intratumour heterogeneity 1 . The interplay of these biological processes and their respective …

Colorectal malignancies are a leading cause of cancer-related death 1 and have undergone
extensive genomic study 2 , 3 . However, DNA mutations alone do not fully explain …

… With input CCF, each entry of D i is a real value in [0,1]; with binary data 1 is used to report
where the alteration is detected. We assume that D i has no 0 columns and denote as {D i |i = …

… The clusters are evaluated by visualization as a 2-D scatter plot and survival analysis. The
molecular features significantly enriched in each cluster are listed, and finally, pathway activity …

Chondral articular defects are a key concern in orthopaedic surgery. To overcome the
disadvantages of autologous chondrocyte implantation (ACI) and to improve the outcomes of …

… (D) Bar plot returning the proportion of sites of the SARS-CoV-2 genome that are either
non-… In this work, we followed the guidelines proposed in Ramazzotti et al. (2020) and applied …

… in an m × n binary matrix D, in which an entry D i , j = 1 if the event j was observed in sample
i, and 0 otherwise. Assumption (iv) is satisfied when all columns in D differ—ie the alteration …

… We start with an input relational table D defined over a set A of h categorical attributes and s
… in D, we assume they have been discretized to become categorical. From D, we derive \(D^{\…