User profiles for A. Zinovyev
Andrei ZinovyevIn silico R&D Evotec Verified email at evotec.com Cited by 11724 |
Constructive methods of invariant manifolds for kinetic problems
The concept of the slow invariant manifold is recognized as the central idea underpinning a
transition from micro to macro and model reduction in kinetic theories. We present the …
transition from micro to macro and model reduction in kinetic theories. We present the …
[HTML][HTML] Applications of single-cell and bulk RNA sequencing in onco-immunology
…, M Aglave, FX Danlos, A Marabelle, A Zinovyev… - European Journal of …, 2021 - Elsevier
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 …
brought forward the high potential of RNA sequencing (RNA-seq) in identifying molecular …
[PDF][PDF] Fibroblast heterogeneity and immunosuppressive environment in human breast cancer
Carcinoma-associated fibroblasts (CAF) are key players in the tumor microenvironment.
Here, we characterize four CAF subsets in breast cancer with distinct properties and levels of …
Here, we characterize four CAF subsets in breast cancer with distinct properties and levels of …
Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v. 3.0
Constraint-based reconstruction and analysis (COBRA) provides a molecular mechanistic
framework for integrative analysis of experimental molecular systems biology data and …
framework for integrative analysis of experimental molecular systems biology data and …
[HTML][HTML] Independent component analysis for unraveling the complexity of cancer omics datasets
Independent component analysis (ICA) is a matrix factorization approach where the signals
captured by each individual matrix factors are optimized to become as mutually independent …
captured by each individual matrix factors are optimized to become as mutually independent …
Single-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer
…, C Bonneau, A Guyard, K Tarte, A Zinovyev… - Cancer discovery, 2020 - AACR
Our work provides a significant advance in characterizing and understanding FAP + CAF in
cancer. We reached a high resolution at single-cell level, which enabled us to identify …
cancer. We reached a high resolution at single-cell level, which enabled us to identify …
[BOOK][B] Principal manifolds for data visualization and dimension reduction
In 1901, Karl Pearson [1] explained to the scientific community that the problem of data
approximation is (i) important and (ii) nice, and (iii) differs from the regression problem. He …
approximation is (i) important and (ii) nice, and (iii) differs from the regression problem. He …
The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease
…, M Krueger, I Kuperstein, A Zinovyev… - Nucleic acids …, 2019 - academic.oup.com
A multitude of factors contribute to complex diseases and can be measured with ‘omics’
methods. Databases facilitate data interpretation for underlying mechanisms. Here, we describe …
methods. Databases facilitate data interpretation for underlying mechanisms. Here, we describe …
[HTML][HTML] Classification of microarray data using gene networks
Background Microarrays have become extremely useful for analysing genetic phenomena,
but establishing a relation between microarray analysis results (typically a list of genes) and …
but establishing a relation between microarray analysis results (typically a list of genes) and …
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization
We present a tool for control-free copy number alteration (CNA) detection using deep-sequencing
data, particularly useful for cancer studies. The tool deals with two frequent problems …
data, particularly useful for cancer studies. The tool deals with two frequent problems …