Motivation The composition and density of immune cells in the tumor microenvironment
(TME) profoundly influence tumor progression and success of anti-cancer therapies. Flow …

Immune cells infiltrating tumors can have important impact on tumor progression and
response to therapy. We present an efficient algorithm to simultaneously estimate the …

As interactions between the immune system and tumour cells are governed by a complex
network of cell–cell interactions, knowing the specific immune cell composition of a solid …

RNA sequencing (RNA-seq) provides an efficient high-throughput technique to robustly
characterize the tumor immune microenvironment (TME). The increasing use of RNA-seq in …

The rising interest for precise characterization of the tumour immune contexture has recently
brought forward the high potential of RNA sequencing (RNA-seq) in identifying molecular …

Tumor progression and the efficacy of immunotherapy are strongly influenced by the
composition and abundance of immune cells in the tumor microenvironment. Due to the …

Since the performance of in silico approaches for estimating immune-cell fractions from bulk
RNA-seq data can vary, it is often advisable to compare results of several methods. Given …

Tumor-infiltrating immune cells comprise various cells of the innate and the adaptive
immune system, which influence tumor growth and response to immunotherapy by exerting …

Gene expression profiling is nowadays routinely performed on clinically relevant samples
(eg, from tumor specimens). Such measurements are often obtained from bulk samples …

Various computational approaches have been developed for estimating the relative
abundance of different cell types in the tumor microenvironment (TME) using bulk tumor …