• Publications
  • Influence
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking
In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations and data-driven social-networking should facilitate identification of spectra and foster collaborations. Expand
Mass spectral molecular networking of living microbial colonies
The platform presented here provides a significant advancement in the ability to understand the spatiotemporal dynamics of metabolite production in live microbial colonies and communities. Expand
A Review of Some Modern Approaches to the Problem of Trend Extraction
This article presents a review of some modern approaches to trend extraction for one-dimensional time series, which is one of the major tasks of time series analysis. The trend of a time series isExpand
Interspecies Interactions Stimulate Diversification of the Streptomyces coelicolor Secreted Metabolome
The results illustrate that chemical interactions between actinomycete bacteria exhibit high complexity and specificity and can drive differential secondary metabolite production in pairwise coculture. Expand
Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering.
This work proposes a new procedure for spatial segmentation of MALDI-imaging data sets that reduces pixel-to-pixel variability and improves the segmentation map significantly and analyzes two data sets using the proposed pipeline. Expand
• The paper presents a new method of trend extraction in the framework of the Singular Spectrum Analysis (SSA) approach. This method is easy to use, does not need specification of models of timeExpand
Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation
A new procedure of biomarker discovery in serum protein profiles based on discrete wavelet transformation of the spectra is proposed and the obtained classifiers have high generalization power as measured by the number of support vectors, which prevents overfitting and contributes to the reproducibility of the results. Expand
The evolving field of imaging mass spectrometry and its impact on future biological research.
Insight is provided into the evolution and current state of IMS and some of the directions that IMS could develop in order to stay on course to become one of the most promising new tools in life science research. Expand
Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering
A novel approach for spatial segmentation of an IMS dataset, which is constructed considering the important issue of pixel-to-pixel variability and which provides segmentation maps of similar or better quality if compared to the other state-of-the-art methods, but outperform them in runtime and/or required memory. Expand
MALDI imaging mass spectrometry: statistical data analysis and current computational challenges
  • T. Alexandrov
  • Computer Science, Medicine
  • BMC Bioinformatics
  • 5 November 2012
Computational methods for analyzing MALDI-imaging data with the emphasis on multivariate statistical methods are outlined, their pros and cons are discussed, and their recommendations on their application are given. Expand