Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jiening, Zhu"'
Autor:
Corey Weistuch, Kevin A. Murgas, Jiening Zhu, Larry Norton, Ken A. Dill, Allen R. Tannenbaum, Joseph O. Deasy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Cancer transcriptional patterns reflect both unique features and shared hallmarks across diverse cancer types, but whether differences in these patterns are sufficient to characterize the full breadth of tumor phenotype heterogeneity remains
Externí odkaz:
https://doaj.org/article/e1680c5d61d74dc0b12a00afe279b9bc
Autor:
Anish K. Simhal, Kylee H. Maclachlan, Rena Elkin, Jiening Zhu, Larry Norton, Joseph O. Deasy, Jung Hun Oh, Saad Z. Usmani, Allen Tannenbaum
Publikováno v:
Blood Cancer Journal, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The plasma cell cancer multiple myeloma (MM) varies significantly in genomic characteristics, response to therapy, and long-term prognosis. To investigate global interactions in MM, we combined a known protein interaction network with a larg
Externí odkaz:
https://doaj.org/article/8ac2e5a5738b4c569addc774c5791482
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-13 (2022)
Abstract Background Compositional systems, represented as parts of some whole, are ubiquitous. They encompass the abundances of proteins in a cell, the distribution of organisms in nature, and the stoichiometry of the most basic chemical reactions. T
Externí odkaz:
https://doaj.org/article/fe297b185b1b4653a0377abbca1488fd
Publikováno v:
IEEE Access, Vol 8, Pp 209224-209231 (2020)
Unbalanced optimal mass transport (OMT) seeks to remove the conservation of mass constraint by adding a source term to the standard continuity equation in the Benamou-Brenier formulation of OMT. In this study, we show how the unbalanced case fits int
Externí odkaz:
https://doaj.org/article/17aa3c5d971b41fe9ce109f2f22e213d
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
In this paper, we present a network-based clustering method, called vector Wasserstein clustering (vWCluster), based on the vector-valued Wasserstein distance derived from optimal mass transport (OMT) theory. This approach allows for the natural inte
Externí odkaz:
https://doaj.org/article/5bb18def619e41229038fe6c6cad090a
Autor:
Liping Mai, Guodong He, Jing Chen, Jiening Zhu, Shaoxian Chen, Xinghua Hou, Hui Yang, Mengzhen Zhang, Yueheng Wu, Qiuxiong Lin, Min Yang, Xiaohong Li
Publikováno v:
Stem Cells International, Vol 2021 (2021)
Background and Aim. The senescence of human bone marrow mesenchymal stem cells (hBMSCs) can be induced by oxidative stress, but the mechanism by which it occurs is not yet clear. Here, we performed an investigation on the pathogenesis of hypoxia-indu
Externí odkaz:
https://doaj.org/article/6c92760a0292477a8e88c045cbd4e1c3
Autor:
Corey Weistuch, Kevin A. Murgas, Jiening Zhu, Larry Norton, Ken A. Dill, Joseph O. Deasy, Allen R. Tannenbaum
Gene expression predicts tumor characteristics such as resistance to anticancer therapy. However, generalizing these predictors to multiple cancer types and data sets to motivate new therapeutic strategies has proven difficult. Here, we present a non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38c2ed271c9ae2a5b67500a98d00c56d
Autor:
Anish K. Simhal, Kylee H. Maclachlan, Rena Elkin, Jiening Zhu, Saad Z. Usmani, Jonathan J. Keats, Larry Norton, Joseph O. Deasy, Jung Hun Oh, Allen Tannenbaum
Publikováno v:
Cancer Research. 83:2061-2061
Multiple myeloma (MM) prognosis incorporates a variety of metrics including treatment received, clinical factors, and genomic characteristics, with several specific genomic features predicting for shorter progression free survival (PFS). No study to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d7855aaac426d44903ef2e8613b08c
https://doi.org/10.1158/1538-7445.am2023-2061
https://doi.org/10.1158/1538-7445.am2023-2061
Autor:
Anish K Simhal, Kylee H Maclachlan, Rena Elkin, Jiening Zhu, Saad Usmani, Jonathan J Keats, Larry Norton, Joseph O. Deasy, Jung Hun Oh, Allen Tannenbaum
Publikováno v:
Blood. 140:9991-9992
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34ad930fddb186ec559c103db4d1deb
https://doi.org/10.1182/blood-2022-167248
https://doi.org/10.1182/blood-2022-167248
In this work, we introduce a new mathematical framework based on network curvature to extract significant cancer subtypes from multi-omics data. This extends our previous work that was based on analyzing a fixed single-omics data class (e,g, CNA, gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0b683bd3313f4f53575b803cb8152fb
https://doi.org/10.1101/2022.03.24.485712
https://doi.org/10.1101/2022.03.24.485712