Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in
cancer studies. However, little is known about the transcriptomic profile of NAT, how it is …

Mice are some of the widely used experimental animal models for studying human diseases.
Defining the compositions of immune cell populations in various tissues from experimental …

Background Deconvolution is a mathematical process of resolving an observed function into
its constituent elements. In the field of biomedical research, deconvolution analysis is …

Recent and rapidly evolving progress on high-throughput measurement techniques and
computational performance has led to the emergence of new disciplines, such as systems …

The functions of human brains highly depend on the precise temporal regulation of gene
expression, and the temporal brain transcriptome profile across lifespan has been observed …

In a recently published article in Genome Biology, Li and colleagues introduced TIMER, a
gene expression deconvolution approach for studying tumor-infiltrating leukocytes (TILs) in …

High-throughput gene expression data are often obtained from pure or complex
(heterogeneous) biological samples. In the latter case, data obtained are a mixture of …

In silico quantification of cell proportions from mixed-cell transcriptomics data
(deconvolution) requires a reference expression matrix, called basis matrix. We …

Problem In molecular analysis of tissue biopsy specimens, one crucial aspect is
characterization of immune cell populations. This is especially important for evaluation of …

Background Measuring genome-wide changes in transcript abundance in circulating
peripheral whole blood is a useful way to study disease pathobiology and may help …