Kanchana Padmanabhan

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.

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.

Functional Annotation of Hierarchical Modularity

PLOS ONE, 7(4).

In-silico identification of phenotype-biased functional modules

PROTEOME SCIENCE, 10.

NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems

PLOS COMPUTATIONAL BIOLOGY, 8(5).

DENSE: efficient and prior knowledge-driven discovery of phenotype-associated protein functional modules

BMC SYSTEMS BIOLOGY, 5.

Efficient alpha, beta-motif finder for identification of phenotype-related functional modules

BMC BIOINFORMATICS, 12.

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).

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).