Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Edward A. Rietman"'
Autor:
Giulia Pozzati, Jinrui Zhou, Hananel Hazan, Giannoula Lakka Klement, Hava T. Siegelmann, Jack A. Tuszynski, Edward A. Rietman
Publikováno v:
Onco, Vol 4, Iss 3, Pp 163-191 (2024)
Whole-genome sequencing has revealed that TP53, NOTCH1, ATM, SF3B1, BIRC3, ABL, NXF1, BCR, and ZAP70 are often mutated in CLL, but not consistently across all CLL patients. This paper employs a statistical thermodynamics approach in combination with
Externí odkaz:
https://doaj.org/article/cbb7a77e2b574368b5b57277c1b9f346
Publikováno v:
Universe, Vol 9, Iss 4, p 162 (2023)
We describe the construction of an optical-space, cylindrical black hole induced by high pressure in a dense fluid. Using an approximate analogy between curved spacetime and optics in moving dielectric media, we derive the mass of the black hole thus
Externí odkaz:
https://doaj.org/article/00f47c8ccb5a4e4ea03d4e32dc0e15bd
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 8059 (2021)
In this paper, we propose a bioinformatics-based method, which introduces thermodynamic measures and topological characteristics aimed to identify potential drug targets for pharmaco-resistant epileptic patients. We apply the Gibbs homology analysis
Externí odkaz:
https://doaj.org/article/4f46516202e149cba2376c6a8590c8db
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f2e9cc5f48f6c0efc13331ee077ff9
https://doi.org/10.1109/tnnls.2022.3230914
https://doi.org/10.1109/tnnls.2022.3230914
Autor:
Michael Keegan, Hava T. Siegelmann, Edward A. Rietman, Giannoula Lakka Klement, Jack A. Tuszynski
Publikováno v:
BioMedInformatics; Volume 1; Issue 3; Pages: 201-210
Modern network science has been used to reveal new and often fundamental aspects of brain network organization in physiological as well as pathological conditions. As a consequence, these discoveries, which relate to network hierarchy, hubs and netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c89870bc9b2899d3a474a4ecaf1d0b81
https://doi.org/10.3390/biomedinformatics1030013
https://doi.org/10.3390/biomedinformatics1030013
Autor:
Edward A. Rietman, Jack A. Tuszynski
Publikováno v:
Biomedical Science and Engineering. 4
This talk presents an overview of the systems biology of cancer applied to specific protein-protein interaction signaling pathways. We argue that network analysis augmented with thermodynamics measures such as Gibbs free energy can lead to optimized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4e72708e0989b294e0074e6c2b6a3d
https://doi.org/10.4081/bse.2021.143
https://doi.org/10.4081/bse.2021.143
Publikováno v:
Applied Sciences, Vol 11, Iss 8059, p 8059 (2021)
Applied Sciences
Volume 11
Issue 17
Applied Sciences
Volume 11
Issue 17
In this paper, we propose a bioinformatics-based method, which introduces thermodynamic measures and topological characteristics aimed to identify potential drug targets for pharmaco-resistant epileptic patients. We apply the Gibbs homology analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064a2b4b4e142676e6b0e75811b2df78
https://www.mdpi.com/2076-3417/11/17/8059
https://www.mdpi.com/2076-3417/11/17/8059
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 3, p e0226883 (2020)
PLoS ONE, Vol 15, Iss 3, p e0226883 (2020)
We analyzed protein expression data for Lupus patients, which have been obtained from publicly available databases. A combination of systems biology and statistical thermodynamics approaches was used to extract topological properties of the associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04f49138aa30c4deddea698bfeb06076
https://pubmed.ncbi.nlm.nih.gov/32191711
https://pubmed.ncbi.nlm.nih.gov/32191711
This paper analyzes the data obtained from tissue samples of the human brains containing protein expression values. The data have been processed for their thermodynamic measure in terms of the Gibbs free energy of the corresponding protein-protein in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4888a769b20aa0fc5d618752a349811
Background: Modern network science has been used to reveal new and often fundamental aspects of brain network organization in physiological as well as pathological conditions. As a consequence, these discoveries, which relate to network hierarchy, hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10edd05710d0c0b7825cfddd20fe4961
https://doi.org/10.1101/527820
https://doi.org/10.1101/527820