Works (9)
Updated: July 6th, 2023 11:35
2015 journal article
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall
NONLINEAR PROCESSES IN GEOPHYSICS, 22(1), 33–46.
www.nonlin-processes-geophys.net (publisher PDF)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2013 article
Coupled Heterogeneous Association Rule Mining (CHARM): Application toward Inference of Modulatory Climate Relationships
2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1055–1060.
author keywords: association rules; climate; data coupling; discovery
TL;DR:
Coupled Heterogeneous Association Rule Mining (CHARM), a computationally efficient methodology that mines higher-order relationships between these subsystems' anomalous temporal phases with respect to their effect on the system's response, is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2012 journal article
Functional Annotation of Hierarchical Modularity
PLOS ONE, 7(4).
MeSH headings : Algorithms; Cluster Analysis; Computational Biology / methods; Databases, Factual; Metabolic Networks and Pathways; Protein Interaction Mapping; Saccharomyces cerevisiae / genetics; Saccharomyces cerevisiae / metabolism; Saccharomyces cerevisiae Proteins / genetics; Saccharomyces cerevisiae Proteins / metabolism
TL;DR:
The complementary method provides the hierarchical functional annotation of the modules and their hierarchically organized components by directly incorporating the functional taxonomy information into the hierarchy search process and by allowing multi-functional genes to be part of more than one component in the hierarchy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2012 journal article
In-silico identification of phenotype-biased functional modules
PROTEOME SCIENCE, 10.
TL;DR:
A methodology to identify phenotype-biased cellular subsystems that are more prone to occur in phenotype-expressing organisms than in phenotype non-expressing organisms is proposed and shown the effectiveness of the methodology by applying it to several target phenotypes.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2012 journal article
NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems
PLOS COMPUTATIONAL BIOLOGY, 8(5).
MeSH headings : Algorithms; Animals; Computer Simulation; Data Mining / methods; Databases, Protein; Humans; Metabolome / physiology; Models, Biological; Periodicals as Topic; Phenotype; Protein Interaction Mapping / methods; Proteome / metabolism; Signal Transduction / physiology
TL;DR:
Network Instance-Based Biased Subgraph Search (NIBBS) is a graph-theoretic method for genome-scale metabolic network comparative analysis that can identify metabolic systems that are statistically biased toward phenotype-expressing organismal networks.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
12. Responsible Consumption and Production
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2011 journal article
DENSE: efficient and prior knowledge-driven discovery of phenotype-associated protein functional modules
BMC SYSTEMS BIOLOGY, 5.
MeSH headings : Animals; Binding Sites; Cattle; Cell Movement; Cells, Cultured; Computer Simulation; Extracellular Matrix / metabolism; Fibronectins / metabolism; Humans; Models, Biological; Neuropilin-1 / metabolism; Pancreatic Elastase / metabolism; Phenotype; Rats; Receptors, Vascular Endothelial Growth Factor / metabolism; Signal Transduction; Systems Biology; Vascular Endothelial Growth Factor A / chemistry; Vascular Endothelial Growth Factor A / metabolism; Vascular Endothelial Growth Factor A / physiology
TL;DR:
A fast and theoretically guranteed method called DENSE (Dense and ENriched Subgraph Enumeration) that can take in as input a biologist's prior knowledge as a set of query proteins and identify all the dense functional modules in a biological network that contain some part of the query vertices is introduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2011 journal article
Efficient alpha, beta-motif finder for identification of phenotype-related functional modules
BMC BIOINFORMATICS, 12.
MeSH headings : Acids / metabolism; Algorithms; Bacteria / genetics; Bacteria / metabolism; Citric Acid Cycle; Computing Methodologies; Hydrogen / metabolism; Phenotype; Proteobacteria
TL;DR:
A methodology that can identify potential statistically significant phenotype-related functional modules that are in at least α networks of phenotype-expressing organisms but appear in no more than β networks of organisms that do not exhibit the target phenotype is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
6. Clean Water and Sanitation
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
journal article
Characterizing gene and protein crosstalks in subjects at risk of developing Alzheimer's disease: A new computational approach
Padmanabhan, K., Nudelman, K., Harenberg, S., Bello, G., Sohn, D., Shpanskaya, K., … Samatova, N. F. Processes, 5(3).
Source: NC State University Libraries
Added: August 6, 2018
report
Community detection in large-scale networks: A Survey and empirical evaluation
Harenberg, S., Bello, G. A., Gjeltema, L., Ranshous, S., Harlalka, J., Seay, R., … Samatova, N. In Technical Report- Not held in TRLN member libraries (p. 2014).
Source: NC State University Libraries
Added: August 6, 2018
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