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Sanjiv Kumar Dwivedi
Sanjiv Kumar Dwivedi
Verified email at chalmers.se
Title
Cited by
Cited by
Year
Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
SK Dwivedi, A Tjärnberg, J Tegnér, M Gustafsson
Nature communications 11 (1), 856, 2020
442020
Uncovering randomness and success in society
S Jalan, C Sarkar, A Madhusudanan, SK Dwivedi
PloS one 9 (2), e88249, 2014
392014
Quantifying randomness in protein–protein interaction networks of different species: a random matrix approach
A Agrawal, C Sarkar, SK Dwivedi, N Dhasmana, S Jalan
Physica A: Statistical Mechanics and its Applications 404, 359-367, 2014
262014
Optimized evolution of networks for principal eigenvector localization
P Pradhan, A Yadav, SK Dwivedi, S Jalan
Physical Review E 96 (2), 022312, 2017
252017
Optimization of synchronizability in multiplex networks by rewiring one layer
SK Dwivedi, MS Baptista, S Jalan
Physical Review E 95 (4), 040301, 2017
242017
Optimization of synchronizability in multiplex networks
SK Dwivedi, C Sarkar, S Jalan
Europhysics Letters 111 (1), 10005, 2015
242015
Emergence of clustering: Role of inhibition
SK Dwivedi, S Jalan
Physical Review E 90 (3), 032803, 2014
222014
Extreme-value statistics of networks with inhibitory and excitatory couplings
SK Dwivedi, S Jalan
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (4 …, 2013
182013
Classification of HIV-1 sequences using profile Hidden Markov Models
SK Dwivedi, S Sengupta
PLoS One 7 (5), e36566, 2012
142012
Extreme-value statistics of brain networks: Importance of balanced condition
S Jalan, SK Dwivedi
Physical Review E 89 (6), 062718, 2014
92014
Interplay of inhibition and multiplexing: Largest eigenvalue statistics
S Ghosh, SK Dwivedi, MV Ivanchenko, S Jalan
Europhysics Letters 115 (1), 10001, 2016
72016
Emergence of (bi) multi-partiteness in networks having inhibitory and excitatory couplings
S Jalan, SK Dwivedi
Europhysics Letters 112 (4), 48003, 2015
52015
Interplay of mutation and disassortativity
SK Dwivedi, S Jalan
Physical Review E 92 (2), 022802, 2015
52015
Evolution of correlated multiplexity through stability maximization
SK Dwivedi, S Jalan
Physical Review E 95 (2), 022309, 2017
32017
NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures
D Martínez-Enguita, SK Dwivedi, R Jörnsten, M Gustafsson
Briefings in Bioinformatics 24 (5), bbad293, 2023
12023
Deep learning genome-wide genetics through biregular sparse decoder layer: deriving new disease genetic associations and disease risk predictions
M Gustafsson, S Dwivedi, S Hellberg, L Padyukov, R Jornsten
2023
Data-driven representations using deep network-coherent methylation autoencoders to identify robust disease and risk factor signatures
D Martínez-Enguita, SK Dwivedi, R Jörnsten, M Gustafsson
bioRxiv, 2023.03. 07.531501, 2023
2023
Supplementary Data Optimized evolution of networks for principal eigenvector localization
P Pradhan, A Yadav, SK Dwivedi, S Jalan
2017
Balanced condition in networks leads to Weibull statistics
S Jalan, SK Dwivedi
arXiv preprint arXiv:1311.6950, 2013
2013
" The third hidden layer of a deep methylation autoencoder shows gene co-localization patterns in the interactome.
D Martínez-Enguita, SK Dwivedi, M Gustafsson
space 1, 1, 0
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Articles 1–20