Explore the Cutting-Edge Research Backing SmartTensors
Dive into the world of advanced AI with SmartTensors. Discover the scientific publications that underpin our groundbreaking technology and join us in the pursuit of knowledge and progress.
- Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.,
R. Barron, M. E. Eren, M. Bhattarai, N. Solovyev, K. Rasmussen, B. Alexandrov, C. Nicholas, C. Matuszek
arXiv preprint arXiv:2403.16222: 2024. - Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation.,
D. P. Truong, M. I. Ortega, I. Boureima, G. Manzini, KØ. Rasmussen, B. Alexandrov,
Journal of Computational Physics, 112943: 2024. - Catch'em all: Classification of Rare, Prominent, and Novel Malware Families.,
M. E. Eren, R. Barron, M. Bhattarai, S. Wanna, N. Solovyev, K. Rasmussen, B. Alexandrov, C. Nicholas,
arXiv preprint arXiv:2403.02546: 2024. - Correction to: Distributed out-of-memory NMF on CPU/GPU architectures.,
I. Boureima, M. Bhattarai, M. Eren, E. Skau, P. Romero, S. Eidenbenz, B. Alexandrov
The Journal of Supercomputing 80 (4), 5731-5732: 2024. - Tensor Network Space-Time Spectral Collocation Method for Time Dependent Convection-Diffusion-Reaction Equations.,
D. Adak, D. P. Truong, G. Manzini, KØ. Rasmussen, B. S. Alexandrov
arXiv preprint arXiv:2402.18073: 2024. - Distributed out-of-memory NMF on CPU/GPU architectures.,
I. Boureima, M. Bhattarai, M. Eren, E. Skau, P. Romero, S. Eidenbenz, B. Alexandrov
The Journal of Supercomputing 80 (3), 3970-3999: 2024. - Advancing Transcription Factor Binding Site Prediction Using DNA Breathing Dynamics and Sequence Transformers via Cross Attention.,
A. Kabir, M. Bhattarai, KØ. Rasmussen, A. Shehu, A. R. Bishop, B. Alexandrov, A. Usheva
bioRxiv, 2024.01. 16.575935: 2024. - General-purpose unsupervised cyber anomaly detection via non-negative tensor factorization.,
M.E. Eren, J.S. Moore, E. Skau, E. Moore, M. Bhattarai, G. Chennupati, B.S. Alexandrov
Digital Threats: Research and Practice 4 (1): 2023. - AdversarialTensors.,
M. Bhattarai, B. Alexandrov, K. Rasmussen, B. Nebgen, M. Kaymak
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States): 2023. - Defense of Supervised and Unsupervised Machine Learning Models.,
M. Bhattarai, M. C. Kaymak, R. C. Barron, B. T. Nebgen, K. O. Rasmussen, B.S. Alexandrov
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States): 2023. - Semi-supervised classification of malware families under extreme class imbalance via hierarchical non-negative matrix factorization with automatic model selection.,
M. E. Eren, M. Bhattarai, R. J. Joyce, E. Raff, C. Nicholas, B.S. Alexandrov
ACM Transactions on Privacy and Security 26 (4), 1-27: 2023. - Conotoxin Prediction: New Features to Increase Prediction Accuracy.,
L.K. Monroe, D.P. Truong, J.C. Miner, S.H. Adikari, Z.J. Sasiene, P.W. Fenimore, B. Alexandrov, R.F. Williams, H.B. Nguyen,
Toxins 15 (11), 641: 2023. - Examining DNA breathing with pyDNA-EPBD.,
A. Kabir, M. Bhattarai, KØ. Rasmussen, A. Shehu, A. Usheva, A. R. Bishop, B.S. Alexandrov
Bioinformatics 39 (11), btad699: 2023. - Electrical Grid Anomaly Detection via Tensor Decomposition.,
A. B. Most, M. E. Eren, B. S. Alexandrov, N. Lawrence
MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 162-169: 2023. - MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware.,
M. E. Eren, M. Bhattarai, K. Rasmussen, B. S. Alexandrov, C. Nicholas
2023 IEEE International Conference on Intelligence and Security Informatics …: 2023. - Interactive Distillation of Large Single-Topic Corpora of Scientific Papers.,
N. Solovyev, R. Barron, M. Bhattarai, M. Eren, K. O. Rasmussen, B.S. Alexandrov
arXiv preprint arXiv:2309.10772: 2023. - Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection.,
M. Eren, M. Bhattarai, R. J. Joyce, E. Raff, C. Nicholas, B.S. Alexandrov
ACM Transactions on Privacy and Security: 2023. - Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation.,
D. P. Truong, M. I. Ortega, I. Boureima, G. Manzini, K. Ø. Rasmussen, B.S. Alexandrov
arXiv preprint arXiv:2309.03347: 2023. - Source identification by non-negative matrix factorization combined with semi-supervised clustering.,
B. S. Alexandrov, L. B. Alexandrov, F. L. Iliev, V. G. Stanev, V. V. Vesselinov
US Patent 11,748,657: 2023. - Robust Adversarial Defense by Tensor Factorization.,
M. Bhattarai, M. C. Kaymak, R. Barron, B. Nebgen, K. Rasmussen, B.S. Alexandrov
arXiv preprint arXiv:2309.01077: 2023. - Distributed non-negative rescal with automatic model selection for exascale data.,
M. Bhattarai, I. Boureima, E. Skau, B. Nebgen, H. Djidjev, S. Rajopadhye, J.P Smith, B.S. Alexandrov
Journal of Parallel and Distributed Computing 179: 2023. - The tensor-train mimetic finite difference method for three-dimensional Maxwell’s wave propagation equations.,
G. Manzini, P. M. D. Truong, R. Vuchkov, B. Alexandrov
Mathematics and Computers in Simulation 210: 2023. - Distributed Out-of-Memory NMF on CPU/GPU Architectures.,
I. Boureima, M. Bhattarai, M. Eren, E. Skau, P. Romero, S. Eidenbenz, B.S. Alexandrov
Journal of Parallel and Distributed Computing: 2023. - Challenging the Curse of Dimensionality in Multidimensional Numerical Integration by Using a Low-Rank Tensor-Train Format.,
B. Alexandrov, G. Manzini, E. W. Skau, P. M. D. Truong, R. G. Vuchov
Mathematics 11 (3): 2023. - Patterns and stability of coupled multi-stable nonlinear oscillators.,
G. Bel, B.S. Alexandrov, A.R. Bishop, K.Ø. Rasmussen
Chaos, Solitons & Fractals 166: 2023. - Impaired cardiac glycolysis and glycogen depletion are linked to poor myocardial outcomes in juvenile male swine with metabolic syndrome and ischemia.,
M. Broadwin, D.D. Harris, S.A. Sabe, E. Sengun, A.J. Sylvestre, B.S. Alexandrov, F.W. Sellke, A. Usheva
Physiological Reports 11 (15): 2023. - One-Shot Federated Group Collaborative Filtering.,
M. E. Eren, M. Bhattarai, N. Solovyev, L. E. Richards, R. Yus, C. Nicholas, B.S. Alexandrov
IEEE International Conference on Machine Learning and Applications: 2022. - Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC.,
B. Alexandrov, D. F. DeSantis, G. Manzini, E. W. Skau
Numerical Linear Algebra with Applications 29 (6): 2022. - Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection.,
E. Skau, A. Hollis, S. Eidenbenz, K. Rasmussen, B. Alexandrov
arXiv preprint arXiv:2210.01060: 2022. - Senmfk-split: Large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection.,
M. E. Eren, N. Solovyev, M. Bhattarai, K. Ø. Rasmussen, C. Nicholas, ...
Proceedings of the 22nd ACM Symposium on Document Engineering: 2022. - Distributed out-of-memory svd on cpu/gpu architectures.,
I. Boureima, M. Bhattarai, M. E. Eren, N. Solovyev, H. Djidjev, B.S. Alexandrov
IEEE High Performance Extreme Computing Conference (HPEC): 2022. - Quantum annealing algorithms for Boolean tensor networks.,
E. Pelofske, G. Hahn, D. O’Malley, H. N. Djidjev, B. S. Alexandrov
Scientific Reports 12 (1): 2022. - Fedsplit: One-shot federated recommendation system based on non-negative joint matrix factorization and knowledge distillation.,
M. E. Eren, L. E. Richards, M. Bhattarai, R. Yus, C. Nicholas, B. S. Alexandrov
arXiv preprint arXiv:2205.02359: 2022. - Boolean Hierarchical Tucker Networks on Quantum Annealers.,
B. S. Alexandrov
Large-Scale Scientific Computing: 13th International Conference, LSSC 2021: 2022. - Distributed out-of-memory nmf of dense and sparse data on cpu/gpu architectures with automatic model selection for exascale data.,
I. Boureima, M. Bhattarai, M. Eren, E. Skau, P. Romero, S. Eidenbenz, ...
arXiv preprint arXiv:2202.09518: 2022. - SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection.,
B. S. Alexandrov, M. E. Eren, N. Solovyev, M. Bhattarai, K.Ø. Rasmussen, C. Nicholas, B.S. Alexandrov
DocEng '22: Proceedings of the 22nd ACM Symposium on Document Engineering: 2022. - Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor.,
S.M. Islam, M. Díaz-Gay, Y. Wu, M. Barnes, R. Vangara, E.N. Bergstrom, Y. He, M. Vella, J. Wang, J.W. Teague, P. Clapham, S. Moody, S. Senkin, Y.R. Li, L. Riva, T. Zhang, A.J. Gruber, C.D. Steele, B. Otlu, A. Khandekar, A. Abbasi, L. Humphreys, N. Syulyukina, S.W. Brady, B.S. Alexandrov, N. Pillay, J. Zhang, D.J. Adams, I. Martincorena, D.C. Wedge, M.T. Landi, P. Brennan, M.R. Stratton, S.G. Rozen, L.B. Alexandrov
Cell genomics 2 (11): 2022. - Vangara, R., Rasmussen, K. Ø., Chennupati, G., & Alexandrov, B. (2021, April). Determination of the number of clusters by symmetric non-negative matrix factorization. In Big Data III: Learning, Analytics, and Applications (Vol. 11730, pp. 104-113). SPIE.,
Los Alamos National Lab.(LANL), Los Alamos, NM (United States): 2021. - pyDRESCALk.,
M. Bhattarai, N. Kharat, E. Skau, B. Alexandrov, R. Vangara, J. Smith, T. Tierney
Los Alamos National Lab.(LANL), Los Alamos, NM (United States): 2021. - Automatic model determination for quaternion nmf.,
G. Sanchez, E. Skau, B. Alexandrov
IEEE Access 9: 2021. - Tensor Text-Mining Methods for Malware Identification and Detection, Malware Dynamics Characterization, and Hosts Ranking.,
B. Alexandrov, M. E. Eren
Los Alamos National Lab.(LANL), Los Alamos, NM (United States): 2021. - Finding the number of latent topics with semantic non-negative matrix factorization.,
R. Vangara, M. Bhattarai, E. Skau, G. Chennupati, H. Djidjev, T. Tierney, J.P. Smith, V.G. Stanev, B.S. Alexandrov
IEEE Access 9: 2021. - Boolean matrix factorization via nonnegative auxiliary optimization.,
D. P. Truong, E. Skau, D. Desantis, B. Alexandrov
IEEE Access 9: 2021. - COVID-19 multidimensional Kaggle literature organization.,
M. Eren, N. Solovyev, C. Hamer, R. McDonald, B.S. Alexandrov, and C. Nicholas.
Proceedings of the 21st ACM Symposium on Document Engineering, pp. 1-4. 2021. - Quantum Annealing Algorithms for Boolean Tensor Networks.,
E. Pelofske, G. Hahn, D. O'Malley, H.N. Djidjev, and B.S. Alexandrov.
arXiv preprint arXiv:2107.13659. 2021 Jul 28. - Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.,
J. Pulido, J. Patchett, M. Bhattarai, B. Alexandrov, and J. Ahrens.
EuroVis 2021. Hosted by University of Zurich in collaboration with FAU Erlangen-Nuremberg and ETH Zurich: 2021. - Boolean Hierarchical Tucker Networks on Quantum Annealers,
E. Pelofske, G. Hahn, D. O'Malley, H.N. Djidjev, and B.S. Alexandrov.
Source. 2021. - Selection of optimal salient time steps by non-negative Tucker tensor decomposition.,
J. Pulido, J. Patchett, M. Bhattarai, B.S. Alexandrov, J.P. Ahrens
EuroVis (Short Papers): 2021. - Single model quality estimation of protein structures via non-negative tensor factorization.,
K.L. Kabir, M. Bhattarai, B.S. Alexandrov, A. Shehu
International Conference on Computational Advances in Bio and Medical Sciences: 2021. - The cardiac molecular setting of metabolic syndrome in pigs reveals disease susceptibility and suggests mechanisms that exacerbate COVID-19 outcomes in patients.,
O. Ziegler, N. Sriram, V. Gelev, D. Radeva, K. Todorov, J. Feng, FW. Sellke, S.C. Robson, M. Hiromura, B.S. Alexandrov, A. Usheva
Scientific Reports 11 (1): 2021. - Topic analysis of superconductivity literature by semantic non-negative matrix factorization.,
V. Stanev, E. Skau, I. Takeuchi, B.S. Alexandrov
International Conference on Large-Scale Scientific Computing: 2021. - Geo Thermal Cloud: Cloud fusion of big data and multiphysics models using machine learning for discovery, exploration, and development of hidden geothermal resources.,
V.V. Vesselinov, D. O'Malley, L.P. Frash, B. Ahmmed, A.T. Rupe, S. Karra, R.S. Middleton, B.S. Alexandrov, M.K. Mudunuru, M. Mims, K. Jameson, A. Sun, B. Scanlon, A. Banerji, D.M. Tartakovsky, R.N. Horne, Z. Zhou, C. Maguire, S. Skillman, J. Scharer
Los Alamos National Lab.(LANL), Los Alamos, NM (United States): 2021. - Improved protein decoy selection via non-negative matrix factorization.,
N. Akhter, K.L. Kabir, G. Chennupati, R. Vangara, B.S. Alexandrov, H. Djidjev, A. Shehu
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3): 2021. - Source identification by non-negative matrix factorization combined with semi-supervised clustering,
B.S. Alexandrov, L.B. Alexandrov et al.
US Patent S10,776,718, Sep. 2020. - Distributed Non-Negative Tensor Train Decomposition,
M. Bhattarai, G. Chennupati, E. Skau, R. Vangara, H. Djidjev, and B.S. Alexandrov.
Proceedings of HPEC: 2020 IEEE High Performance Extreme Computing Virtual Conference, September 2020. - Tucker-1 Boolean Tensor Factorization with Quantum Annealers,
D. O'Malley, H. Djidjev and B. Alexandrov.
Proceedings of IEEE International Conference on Rebooting Computing (ICRC 2020), 1-3 December, 2020. - Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling,
R. Vangara, E. Skau, G. Chennupati, et al.
Proceedings of 19th IEEE International Conference on Machine Learning and Applications, December 14-17, 2020. - Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization,
M. Eren, J. Moore, and B.S. Alexandrov.
Proceedings of 18th IEEE International Conference on Intelligence and Security Informatics (ISI), Nov. 9-10, 2020. - A neural network for determination of latent dimensionality in Nonnegative Matrix Factorization,
B. Nebgen, R. Vangara, M.A. Hombrados-Herrera, S. Kuksova, and B.S. Alexandrov.
Journal of Machine Learning: Science and Technology, 2020. - An out of memory tSVD for big-data factorization,
H. Carrillo-Cabada, E. Skau, G. Chennupati, B.S. Alexandrov, and H. Djidjev.
IEEE Access 8, 107749-107759, 2020. - Identification of anomalous diffusion sources by unsupervised learning,
R. Vangara, KØ. Rasmussen, D.N. Petsev, G. Bel, and B.S. Alexandrov.
Physical Review Research 2 (2), 023248. 2020. - Weak matching of temporal interval graphs of sensors for robust multi-modal event detection in noise,
L. Prasad, B.S. Alexandrov, and B.T. Nebgen.
Proceedings of Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, 2020. - Determination of Latent Dimensionality in International Trade Flow,
D.P. Truong, E. Skau, V.I. Valtchinov, and B.S. Alexandrov.
Mach. Learn.: Sci. Technol. 1, 045017, 2020. - Metabolomics and the pig model reveal aberrant cardiac energy metabolism in metabolic syndrome,
M. Karimi, V. Petkova, J.M. Asara, M.J. Griffin, F.W. Sellke, et al.
Scientific Reports 10 (1), 1-11, 2020. - Distributed non-negative matrix factorization with determination of the number of latent features,
G. Chennupati, R. Vangara, E. Skau, H. Djidjev, and B. Alexandrov.
The Journal of Supercomputing, 1-31, 2020. - Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification,
D. DeSantis, P.J. Wolfram, K. Bennett, and B. Alexandrov.
Journal of Machine Learning: Science and Technology, 2020. - The genomic and epigenomic evolutionary history of papillary renal cell carcinomas,
M. Zhu, B., Poeta, M.L., Costantini, et al.
Nature Communication, 3096, 2020. - Increased irrigation water salinity enhances nitrate transport to deep unsaturated soil,
G. Weissman, G. Bel, A. Ben‐Gal, U. Yermiyahu, B. Alexandrov, et al.
Vadose Zone Journal 19 (1), e2004, 2020. - Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures,
N. Akhter, R. Vangara, G. Chennupati, B.S. Alexandrov, H. Djidjev, and A. Shehu.
Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2020. - Decoy selection in protein structure determination via symmetric non-negative matrix factorization.,
K.L. Kabir, G. Chennupati, R. Vangara, H. Djidjev, B.S. Alexandrov, A. Shehu
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM): 2020. - Factorizations of binary matrices: rank relations and the uniqueness of boolean decompositions.,
D. DeSantis, E. Skau, D. Truong, B. Alexandrov
arXiv preprint arXiv:2012.10496: 2020. - Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers,
B.S. Alexandrov, V.G. Stanev, V.V. Vesselinov, and KØ. Rasmussen.
Statistical Analysis and Data Mining: The ASA Data Science Journal 12, 2019. - Unsupervised Machine Learning for Analysis of Phase Separation in Ternary Lipid Mixture,
C.A. López, V.V. Vesselinov, S. Gnanakaran, and B.S. Alexandrov.
Journal of Chemical Theory and Computation 15 (11), 6343-6357. 2019. - Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors,
B. Alexandrov, D. DeSantis, G. Manzini, and E. Skau.
arXiv preprint arXiv:1909.07570, 2019. - Robust effect of metabolic syndrome on major metabolic pathways in the myocardium,
M. Karimi, V.I. Pavlov, O. Ziegler, N. Sriram, S.Y. Yoon, V. Agbortoko, et al.
Plos One 14 (12), e0225857, 2019. - Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing,
V.V. Vesselinov, M.K. Mudunuru, S. Karra, D. O'Malley, and B.S. Alexandrov.
Journal of Computational Physics 395, 85-104, 2019. - Unsupervised machine learning to detect features of domain growth and lipid segregation.,
CA. López, B. Alexandrov, S. Gnanakaran
Biophysical Journal 116 (3), 364a: 2019. - Membranes and machine learning: optimizing the transport of signals and drugs across membranes.,
R. Mansbach, C.A. Lopez, P. Ruggerone, B.S. Wilson, N. Hengartner, H.I. Zgurskaya, B.S. Alexandrov, S. Gnanakaran
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS 37: 2019. - Identification of release sources in advection-diffusion system by machine learning combined with Green’s function inverse method,
V. Stanev, F. Iliev, S. Hansen, V. Velimir, and B. Alexandrov.
Applied Mathematical Modelling, Volume 60, August 2018, Pages 64-76. - Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals,
F.L. Iliev, V.G. Stanev, V.V. Vesselinov, and B.S. Alexandrov.
PloS One 13 (3), e0193974, 2018. - Contaminant source identification using semi-supervised machine learning,
V.V. Vesselinov, B.S. Alexandrov, and D. O’Malley.
Journal of Contaminant Hydrology 212, 134-142. 2018. - Nonnegative tensor factorization for contaminant source identification,
V.V. Vesselinov, B.S. Alexandrov, and D. O'Malley.
Journal of Contaminant Hydrology 220, 66-97. 2018. - Nonnegative/binary matrix factorization with a d-wave quantum annealer,
D. O’Malley, V.V. Vesselinov, B.S. Alexandrov, and L.B. Alexandrov.
PloS One 13 (12), e0206653, 2018. - Unsupervised Phase Mapping ofData by Nonnegative Matrix, Factorization Integrated with Custom Clustering,
B.S. Alexandrov, V. Stanev, V.V. Vesselinov, A.G. Kusne, and G. Antoszewski.
npj Computational Materials 4 (43), 2018. - Evaluating the role of coherent delocalized phonon-like modes in DNA cyclization.,
L. B. Alexandrov, K.Ø. Rasmussen, A. R. Bishop, B. S. Alexandrov
Scientific reports 7 (1), 9731: 2017. - Dynamical Model of Drug Accumulation in Bacteria: Sensitivity Analysis and Experimentally Testable Predictions.,
N. Vesselinova, B. S. Alexandrov, M. E. Wall
PLOS ONE 11 (11), e0165899: 2016. - The role of structural parameters in DNA cyclization.,
Alexandrov L.B, Bishop A.R., Rasmussen K. Ø., Alexandrov B.S.
BMC Bioinformatics 17 (68): 2016. - A rare functional noncoding variant at the GWAS-implicated MIR137/MIR2682 locus might confer risk to schizophrenia and bipolar disorder.,
J. Duan, J. Shi, A. Fiorentino, C. Leites, X. Chen, W. Moy, J. Chen, B. S. Alexandrov, A. Usheva, D. He, J. Freda, N. L. O’Brien, P. V. Gejman, A. R. Sanders, D. F. Levinson, N. G. Buccola, B. J. Mowry, R. Freedman, A. Olincy, F. Amin, D. W. Black, J. M. Silverman, W. F. Byerley, D. M. Svrakic, C. R. Cloninger, M. T. Pato, J. L. Sobell, H. Medeiros, C. Abbott, B. Skar, P. F. Buckley, E. J. Bromet, M. A. Escamilla, A. H. Fanous, D. S. Lehrer, F. Macciardi, D. Malaspina, S. A. McCarroll, S. R. Marder, J. Moran, C. P. Morley, H. Nicolini, D. O. Perkins, S. M. Purcell, M. H. Rapaport, P. Sklar, J. W. Smoller, J. A. Knowles, C. N. Pato, A. McQuillin, E. S. Gershon, L. E. DeLisi, A. R. Bishop, H. MD Gurling, K. S. Kendler
The American Journal of Human Genetics 95 (6), 744-753: 2014. - Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization.,
B. S. Alexandrov, V. V. Vesselinov
Water Resources Research 50 (9), 7332-7347: 2014. - Specificity and heterogeneity of terahertz radiation effect on gene expression in mouse mesenchymal stem cells.,
B. S. Alexandrov, M. Lisa Phipps, L. B. Alexandrov, L. G. Booshehri, A. Erat, J. Zabolotny, C. H. Mielke, H.-T. Chen, G. Rodriguez, K.Ø. Rasmussen, J. S. Martinez, A. R. Bishop, A. Usheva
Scientific reports 3 (1), 1184: 2013. - Binding of nucleoid-associated protein Fis to DNA is regulated by DNA breathing dynamics.,
K. Nowak-Lovato, L. B. Alexandrov, A. Banisadr, A. L. Bauer, A. R. Bishop, A. Usheva, F. Mu, E. Hong-Geller, KØ. Rasmussen, W. S. Hlavacek, B. S. Alexandrov
PLoS Computational Biology 9 (1), e1002881: 2013. - 76 Protein–DNA binding and breathing dynamics of DNA.,
B. S. Alexandrov, KØ. Rasmussen, A. R. Bishop, A Usheva
Journal of Biomolecular Structure and Dynamics 31 (sup1), 49-49: 2013. - Promoter polymorphisms in two overlapping 6p25 genes implicate mitochondrial proteins in cognitive deficit in schizophrenia.,
A. Jablensky, D. Angelicheva, G. J. Donohoe, M. Cruickshank, D. N. Azmanov, D. W. Morris, A. McRae, C. S. Weickert, K. W. Carter, D. Chandler, B. Alexandrov, A. Usheva, B. Morar, P. L. Verbrugghe, A. Filipovska, O. Rackham, A. R. Bishop, KØ Rasmussen, M. Dragovic, M. Cooper, M. Phillips, J. Badcock, E. Bramon-Bosch, O. P. Almeida, L. Flicker, M. Gill, A. Corvin, S. MacGregor, L. Kalaydjieva
Molecular psychiatry 17 (12), 1328-1339: 2012. - DNA breathing dynamics distinguish binding from nonbinding consensus sites for transcription factor YY1 in cells.,
B. S. Alexandrov, Y. Fukuyo, M. Lange, N. Horikoshi, V. Gelev, KØ. Rasmussen, A. R. Bishop, A. Usheva
Nucleic acids research 40 (20), 10116-10123: 2012. - Anharmonic dynamics of intramolecular hydrogen bonds driven by DNA breathing.,
B. S. Alexandrov, V. G. Stanev, A. R. Bishop, KØ. Rasmussen
Physical Review E 86 (6), 061913: 2012. - Entropy–Driven Conformations Controlling DNA Functions.,
A. R. Bishop, KØ. Rasmussen, A Usheva, B. S. Alexandrov
Disorder and Strain-Induced Complexity in Functional Materials, 273-292: 2012.