nslavov
We study ribosome-mediated translation regulation & post-transcriptional regulation via single cell proteomics.
Northeastern UniversityBoston, USA
Pinned Repositories
DO-MS
HIquant
Algorithm for quantifying homologous proteins and proteoforms from bottom-up mass-spec data
nslavov
RCweb
Algorithm for applying a generative approach to network inference (RCweb) for the case when the network is sparse and the latent (not observed) variables affect the observed ones. From all possible factor analysis (FA) decompositions explaining the variance in the data, RCweb selects the FA decomposition that is consistent with a sparse underlying network. The sparsity constraint is imposed by a novel method that significantly outperforms (in terms of accuracy, robustness to noise, complexity scaling and computational efficiency) methods using l1 norm relaxation such as K-SVD and l1-based sparse principal component analysis (PCA).
DART-ID
DART-ID: retention time alignment and peptide identification confidence updates
DO-MS
An modular and extensible app for visualization of mass spectrometry data and optimization of data acquisition.
plexDIA
Multiplexed data-independent acquisition (plexDIA) for increasing proteomics throughput. The code is distributed by an MIT license.
pSCoPE
Prioritized Mass Spectrometry Proteomics. Prioritized Single-Cell ProtEomics by Mass Spectrometry code associated with the pSCoPE manuscript.
SCoPE2
SCP_recommendations
Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments. The code is distributed under an MIT license.
nslavov's Repositories
nslavov/RCweb
Algorithm for applying a generative approach to network inference (RCweb) for the case when the network is sparse and the latent (not observed) variables affect the observed ones. From all possible factor analysis (FA) decompositions explaining the variance in the data, RCweb selects the FA decomposition that is consistent with a sparse underlying network. The sparsity constraint is imposed by a novel method that significantly outperforms (in terms of accuracy, robustness to noise, complexity scaling and computational efficiency) methods using l1 norm relaxation such as K-SVD and l1-based sparse principal component analysis (PCA).
nslavov/DO-MS
nslavov/HIquant
Algorithm for quantifying homologous proteins and proteoforms from bottom-up mass-spec data
nslavov/nslavov