Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Rasha Elhesha"'
Publikováno v:
BMC Genomics, Vol 20, Iss S6, Pp 1-16 (2019)
Abstract Background Biological networks describes the mechanisms which govern cellular functions. Temporal networks show how these networks evolve over time. Studying the temporal progression of network topologies is of utmost importance since it unc
Externí odkaz:
https://doaj.org/article/729aa197a2324d26a9d1b7fae999105b
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:512-524
Dynamic biological networks model changes in the network topology over time. However, often the topologies of these networks are not available at specific time points. Existing algorithms for studying dynamic networks often ignore this problem and fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f03ac3995bcd90feeab80a78d317469
https://doi.org/10.1109/tcbb.2019.2923620
https://doi.org/10.1109/tcbb.2019.2923620
Publikováno v:
Recent Advances in Biological Network Analysis ISBN: 9783030571726
Biological networks provide great potential to understand how cells function. Motifs in biological networks, frequent topological patterns, represent key structures through which biological networks operate. Studying motifs answers important biologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::673370ceb3a9b77e767576280230e843
https://doi.org/10.1007/978-3-030-57173-3_5
https://doi.org/10.1007/978-3-030-57173-3_5
Publikováno v:
BCB
Biological networks describe the interactions among molecules. Unlike static biological networks at a single time point, temporal networks capture how the network topology evolves over time in response to external stimuli or internal variations. We s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e584c419fd47136f77b3120026bef20d
https://doi.org/10.1145/3307339.3342152
https://doi.org/10.1145/3307339.3342152
Publikováno v:
BCB
Dynamic biological networks model changes in the network topology over time. However, often the topologies of these networks are not available at specific time points. Existing algorithms for studying dynamic networks often ignore this problem and fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da39d0fadef6a92dd9c5fb784491aaf
https://doi.org/10.1145/3233547.3233576
https://doi.org/10.1145/3233547.3233576
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 16(4)
Biological networks provide great potential to understand how cells function. Motifs are topological patterns which are repeated frequently in a specific network. Network motifs are key structures through which biological networks operate. However, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d919f8d78eec39fcd551f2b540d8aa
https://pubmed.ncbi.nlm.nih.gov/29994098
https://pubmed.ncbi.nlm.nih.gov/29994098
Publikováno v:
BCB
BMC Genomics
BMC Genomics, Vol 20, Iss S6, Pp 1-16 (2019)
BMC Genomics
BMC Genomics, Vol 20, Iss S6, Pp 1-16 (2019)
MotivationBiological networks describes the mechanisms which govern cellular functions. Temporal networks show how these networks evolve over time. Studying the temporal progression of network topologies is of utmost importance since it uncovers how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69b85203c5789986fad192c89e026ff
Publikováno v:
Oikos. 125:480-491
The assembly of local communities from regional pools is a multifaceted process that involves the confluence of interactions and environmental conditions at the local scale and biogeographic and evolutionary history at the regional scale. Understandi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::286e11dde34cf4f2bb16cb95a7ea4340
https://doi.org/10.1111/oik.02532
https://doi.org/10.1111/oik.02532
Publikováno v:
BCB
Biological networks provide great potential to understand how cells function. Network motifs, frequent topological patterns, are key structures through which biological networks operate. Counting independent (i.e. non-overlapping) copies of a given m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141a3778a6223ef69ff5dde9055b0655
https://doi.org/10.1145/2975167.2975191
https://doi.org/10.1145/2975167.2975191
Publikováno v:
BCB
The frequent agreement subtree (FAST) problem provides an effective approach for extracting highly supported subtrees from collections of conflicting phylogenetic tree topologies. Efficient heuristics exist to extract maximal FASTs (i.e., MFASTs) fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba93227e2bc0a0ab6c5588b304f33e87
https://doi.org/10.1145/2649387.2649389
https://doi.org/10.1145/2649387.2649389