Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Purushottam D. Dixit"'
Publikováno v:
npj Systems Biology and Applications, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract Dimensionality reduction offers unique insights into high-dimensional microbiome dynamics by leveraging collective abundance fluctuations of multiple bacteria driven by similar ecological perturbations. However, methods providing lower-dimen
Externí odkaz:
https://doaj.org/article/5f27112bf2e5427e880cce0e60d79f6d
Autor:
Purushottam D. Dixit
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023201 (2020)
The Gibbs-Boltzmann distribution offers a physically interpretable approach to massively reduce the dimensionality of high dimensional probability distributions where the extensive variables represent “features” of the state space and the intensi
Externí odkaz:
https://doaj.org/article/1dfa2d8190a342ed87424c965e044b8e
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 8, p e1009275 (2021)
In modern computational biology, there is great interest in building probabilistic models to describe collections of a large number of co-varying binary variables. However, current approaches to build generative models rely on modelers' identificatio
Externí odkaz:
https://doaj.org/article/d7f5ee881f6c4f3ba30cfda4a58586f1
Autor:
Eugenia Lyashenko, Mario Niepel, Purushottam D Dixit, Sang Kyun Lim, Peter K Sorger, Dennis Vitkup
Publikováno v:
eLife, Vol 9 (2020)
Detecting relative rather than absolute changes in extracellular signals enables cells to make decisions in constantly fluctuating environments. It is currently not well understood how mammalian signaling networks store the memories of past stimuli a
Externí odkaz:
https://doaj.org/article/c59fa05d68b94b3da177fd7394b59b45
Generative models of protein sequence families are an important tool in the repertoire of protein scientists and engineers alike. However, state-of-the-art generative approaches face inference, accuracy, and overfitting-related obstacles when modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::897422a76e17b2cb82bd9153947c6c94
https://doi.org/10.1101/2022.12.12.520114
https://doi.org/10.1101/2022.12.12.520114
Autor:
Zhaoqi Li, Brian W. Ji, Purushottam D. Dixit, Konstantine Tchourine, Evan C. Lien, Aaron M. Hosios, Keene L. Abbott, Justine C. Rutter, Anna M. Westermark, Elizabeth F. Gorodetsky, Lucas B. Sullivan, Matthew G. Vander Heiden, Dennis Vitkup
Publikováno v:
Nat Metab
Production of oxidized biomass, which requires regeneration of the cofactor NAD+, can be a proliferation bottleneck that is influenced by environmental conditions. However, a comprehensive quantitative understanding of metabolic processes that may be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::754ddc49204415185a466d4ae8b80af3
https://europepmc.org/articles/PMC10305743/
https://europepmc.org/articles/PMC10305743/
The gut microbiome ecosystem is a significant driver of host health and disease. High-throughput Longitudinal studies have begun to unravel the complex dynamics of these ecosystems, and quantitative frameworks are now being developed to understand th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fe03c2578915bf1e797ad7a51ae493a
https://doi.org/10.21203/rs.3.rs-1450996/v1
https://doi.org/10.21203/rs.3.rs-1450996/v1
Publikováno v:
Nature Microbiology. 5:768-775
The gut microbiota is now widely recognized as a dynamic ecosystem that plays an important role in health and disease. Although current sequencing technologies make it possible to explore how relative abundances of host-associated bacteria change ove
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 8, p e1009275 (2021)
PLoS Computational Biology, Vol 17, Iss 8, p e1009275 (2021)
In modern computational biology, there is great interest in building probabilistic models to describe collections of a large number of co-varying binary variables. However, current approaches to build generative models rely on modelers’ identificat
Autor:
Hikaru Mamiya, Abish Pius, Purushottam D. Dixit, Amrita Sahu, Aaron Barchowsky, Sruthi Sivakumar, Michael Franti, Sunita Shinde, Nathaniel Luketich, Joerg D. Hoeck, Jian Cui, Sebastian Kreuz, Zachary Clemens, Fabrisia Ambrosio
Publikováno v:
eLife, Vol 10 (2021)
Aging is accompanied by disrupted information flow, resulting from accumulation of molecular mistakes. These mistakes ultimately give rise to debilitating disorders including skeletal muscle wasting, or sarcopenia. To derive a global metric of growin