Email Print Share

All Images


News Release 15-141

Nomadic computing speeds up Big Data analytics

University of Texas researcher designs novel way to analyze bigger datasets using supercomputers and machine learning algorithms

This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.

Schematic of the proposed approach to predicting gene-disease associations.

Schematic of the proposed approach to predicting gene-disease associations. First, the researchers construct gene and disease features using different sources. Then, they perform Inductive matrix completion using row and column features. The shaded region in the P matrix corresponds to genes or diseases with at least one known association

Credit: Nagarajan Natarajan and Inderjit Dhillon


Download the high-resolution PNG version of the image. (1.9 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

diagram showing local network around the human disease diabetes insipidus

The local network around the human disease diabetes insipidus and two genes highly ranked by Catapult, AQP1 (top ranked candidate) and MYBL2 (ranked as number 40). AQP1 is ranked higher than MYBL2 because there are more paths from diabetes insipidus to AQP1 than to MYBL2, both through model organism phenotypes and through the gene--gene network. Only genes and phenotypes that are associated to both diabetes insipidus and the predicted genes AQP1 and MYBL2 are shown.

Credit: U. Martin Singh-Blom, Nagarajan Natarajan, Ambuj Tewari, John O. Woods, Inderjit S. Dhillon, Edward M. Marcotte


Download the high-resolution PONE version of the image. (259.1 KB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

Inderjit S. Dhillon

Inderjit S. Dhillon, Gottesman Family Centennial Professor of Computer Science at The University of Texas at Austin and director of the Center for Big Data Analytics.

Credit: The University of Texas at Austin


Download the high-resolution JPG version of the image. (2.9 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.