Kanchana Padmanabhan

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.

By: D. Gonzalez n, M. Angus n, I. Tetteh n, G. Bello n, K. Padmanabhan n, S. Pendse n, S. Srinivas n, J. Yu  n ...

UN Sustainable Development Goals Color Wheel
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.

By: D. Gonzalez n, S. Pendse n, K. Padmanabhan n, M. Angus n, I. Tetteh n, S. Srinivas n, A. Villanes n, F. Semazzi n, V. Kumar *, N. Samatova n

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 Goals Color Wheel
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).

By: K. Padmanabhan n, K. Wang  n & N. Samatova n

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 Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2012 journal article

In-silico identification of phenotype-biased functional modules

PROTEOME SCIENCE, 10.

By: K. Padmanabhan n, K. Wilson*, A. Rocha *, K. Wang  n, J. Mihelcic * & N. Samatova n

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 Goals Color Wheel
UN Sustainable Development Goal Categories
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).

By: M. Schmidt n, A. Rocha *, K. Padmanabhan n, Y. Shpanskaya *, J. Banfield *, K. Scott *, J. Mihelcic *, N. Samatova n

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 Goals Color Wheel
UN Sustainable Development Goal Categories
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.

By: W. Hendrix n, A. Rocha *, K. Padmanabhan n, A. Choudhary*, K. Scott *, J. Mihelcic *, N. Samatova n

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 Goals Color Wheel
UN Sustainable Development Goal Categories
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.

By: M. Schmidt n, A. Rocha *, K. Padmanabhan n, Z. Chen n, K. Scott *, J. Mihelcic *, N. Samatova n

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 Goals Color Wheel
UN Sustainable Development Goal Categories
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).

By: K. Padmanabhan, K. Nudelman, S. Harenberg, G. Bello, D. Sohn, K. Shpanskaya, P. Dikshit, P. Yerramsetty ...

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).

By: S. Harenberg, G. Bello, L. Gjeltema, S. Ranshous, J. Harlalka, R. Seay, K. Padmanabhan, N. Samatova

Source: NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.