Correspondence: FLO67: a Case Study in Scalable Programming. - Skef Wholey; Clifford Lasser; Gyan Bhanot (Int. J. High Perform. Comput. Appl., 1992)

Hierarchical Decomposition: a Parallel Implementation of the Barnes-Hut Tree Algorithm. - Gyan Bhanot; James Janak; Robert Walkup; Vijay Sonnad (Int. J. High Speed Comput., 1996)

Algorithmic aspects of a neuron for coherent wave synapse realizations. - Stephen L. Adler; Gyan Bhanot; John D. Weckel (IEEE Trans. Neural Networks, 1996)

Mapping, modeling, and visual exploration of structure-function relationships in the heart. - Raimond L. Winslow; David F. Scollan; Joseph L. Greenstein; Christina K. Yung; William Baumgartner Jr.; Gyan Bhanot; Donna L. Gresh; Bernice E. Rogowitz (IBM Syst. J., 2001)

Blue Gene/L, a System-On-A-Chip. - George S. Almási; Daniel K. Beece; Ralph Bellofatto; Gyan Bhanot; Randy Bickford; Matthias A. Blumrich; Arthur A. Bright; José R. Brunheroto; Calin Cascaval; José G. Castaños; Luis Ceze; Paul Coteus; et al. (CLUSTER, 2002)

An overview of the BlueGene/L Supercomputer. - Narasimha R. Adiga; George Almási 001; George S. Almási; Yariv Aridor; Rajkishore Barik; Daniel K. Beece; Ralph Bellofatto; Gyan Bhanot; Randy Bickford; Matthias A. Blumrich; Arthur A. Bright; José R. Brunheroto; et al. (SC, 2002)

A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data. - Gabriela Alexe; Gyan Bhanot; Babu Venkataraghavan; Ramakrishna Ramaswamy; Jorge Lepre; Arnold J. Levine; Gustavo Stolovitzky (CSB, 2005)

Early Experience with Scientific Applications on the Blue Gene/L Supercomputer. - George Almási 001; Gyan Bhanot; Dong Chen 005; Maria Eleftheriou; Blake G. Fitch; Alan Gara; Robert S. Germain; John A. Gunnels; Manish Gupta 002; Philip Heidelberger; Michael Pitman; Aleksandr Rayshubskiy; et al. (Euro-Par, 2005)

Scaling physics and material science applications on a massively parallel Blue Gene/L system. - George Almási 001; Gyan Bhanot; Alan Gara; Manish Gupta 002; James C. Sexton; Robert Walkup; Vasily V. Bulatov; Andrew W. Cook; Bronis R. de Supinski; James N. Glosli; Jeffrey A. Greenough; François Gygi; et al. (ICS, 2005)

Optimizing task layout on the Blue Gene/L supercomputer. - Gyan Bhanot; Alan Gara; Philip Heidelberger; Eoin Lawless; James C. Sexton; Robert Walkup (IBM J. Res. Dev., 2005)

Achieving High Performance on the BlueGene/L Supercomputer. - George S. Almási; Gyan Bhanot; Siddhartha Chatterjee; Alan Gara; John A. Gunnels; Manish Gupta 002; Amy Henning; José E. Moreira; James C. Sexton; Bob Walkup; Alessandro Curioni; Charles Archer; et al. (Parallel Processing for Scientific Computing, 2006)

Constructing Near-Perfect Phylogenies with multiple homoplasy events. - Ravi Vijaya Satya; Amar Mukherjee; Gabriela Alexe; Laxmi Parida; Gyan Bhanot (ISMB (Supplement of Bioinformatics), 2006)

Inferring Common Origins from mtDNA. - Ajay K. Royyuru; Gabriela Alexe; Daniel E. Platt; Ravi Vijaya Satya; Laxmi Parida; Saharon Rosset; Gyan Bhanot (RECOMB, 2006)

Gordon Bell finalists II - The BlueGene/L supercomputer and quantum ChromoDynamics. - Pavlos Vranas; Gyan Bhanot; Matthias A. Blumrich; Dong Chen 005; Alan Gara; Philip Heidelberger; Valentina Salapura; James C. Sexton (SC, 2006)

Portraits of breast cancer progression. - Gul S. Dalgin; Gabriela Alexe; Daniel Scanfeld; Pablo Tamayo; Jill P. Mesirov; Shridar Ganesan; Charles DeLisi; Gyan Bhanot (BMC Bioinform., 2007)

Massively parallel quantum chromodynamics. - Pavlos Vranas; Matthias A. Blumrich; Dong Chen 005; Alan Gara; Mark Giampapa; Philip Heidelberger; Valentina Salapura; James C. Sexton; Ron Soltz; Gyan Bhanot (IBM J. Res. Dev., 2008)

BlueGene/L applications: Parallelism On a Massive Scale. - Bronis R. de Supinski; Martin Schulz 001; Vasily V. Bulatov; William H. Cabot; Bor Chan; Andrew W. Cook; Erik W. Draeger; James N. Glosli; Jeffrey A. Greenough; Keith W. Henderson; Alison Kubota; Steve Louis; et al. (Int. J. High Perform. Comput. Appl., 2008)

A Predictor for Survival in Intermediate Grade Clear Cell Renal Cell Carcinoma. - Anupama Reddy; Angela Rose Brannon; Michael Seiler; Joseph Irgon; Börje Ljungberg; Hongjuan Zhao; James D. Brooks; Shridar Ganesan; W. Kimryn Rathmell; Gyan Bhanot (BIOCOMP, 2009)

Identifying mRNA targets of microRNA dysregulated in cancer: with application to clear cell Renal Cell Carcinoma. - Huiqing Liu; Angela Rose Brannon; Anupama Reddy; Gabriela Alexe; Michael Seiler; Alexandra Arreola; Jay H. Oza; Ming Yao; David Juan; Louis S. Liou; Shridar Ganesan; Arnold J. Levine; et al. (BMC Syst. Biol., 2010)

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. - Ajay Basavanhally; Shridar Ganesan; Shannon Agner; James Monaco; Michael D. Feldman; John Tomaszewski 001; Gyan Bhanot; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. - Hussain Fatakdawala; Jun Xu 005; Ajay Basavanhally; Gyan Bhanot; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

From RNA Replicators to Genes to Survival Machines with Brains. - Gyan Bhanot (BrainComp, 2013)

Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge. - Michael Biehl; Peter J. Sadowski; Gyan Bhanot; Erhan Bilal; Adel Dayarian; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Michael D. Zeller; Sahand Hormoz (Bioinform., 2015)

Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. - Adel Dayarian; Roberto Romero; Zhiming Wang; Michael Biehl; Erhan Bilal; Sahand Hormoz; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Gyan Bhanot; Feng Luo 001; Adi L. Tarca (Bioinform., 2015)

Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets. - Sahand Hormoz; Gyan Bhanot; Michael Biehl; Erhan Bilal; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Adel Dayarian (Bioinform., 2015)

Predicting recurrence in clear cell Renal Cell Carcinoma: Analysis of TCGA data using outlier analysis and generalized matrix LVQ. - Gargi Mukherjee; Gyan Bhanot; Kevin Raines; Srikanth Sastry; Sebastian Doniach; Michael Biehl (CEC, 2016)

Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261). - Gyan Bhanot; Michael Biehl; Thomas Villmann; Dietlind Zühlke (Dagstuhl Reports, 2016)

Biomedical data analysis in translational research: integration of expert knowledge and interpretable models. - Gyan Bhanot; Michael Biehl; Thomas Villmann; Dietlind Zühlke (ESANN, 2017)