Arjun Krishnan

According to our database, Arjun Krishnan authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata.

Hao Yuan, Parker Hicks, Mansooreh Ahmadian, Kayla A. Johnson, Lydia Valtadoros, Arjun Krishnan

Briefings Bioinform., January, 2025

2024

Joint representation of molecular networks from multiple species improves gene classification.

Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan

PLoS Comput. Biol., January, 2024

CONE: COntext-specific Network Embedding via Contextualized Graph Attention.

Renming Liu, Hao Yuan, Kayla A. Johnson, Arjun Krishnan

Proceedings of the Machine Learning in Computational Biology, 2024

2023

PyGenePlexus: a Python package for gene discovery using network-based machine learning.

Christopher A. Mancuso, Renming Liu, Arjun Krishnan

Bioinform., February, 2023

Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>.

Renming Liu, Matthew J. Hirn, Arjun Krishnan

Bioinform., January, 2023

Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks.

Renming Liu, Arjun Krishnan

Proceedings of the Machine Learning in Computational Biology, November 30, 2023

2022

GenePlexus: a web-server for gene discovery using network-based machine learning.

Christopher A. Mancuso, Patrick S. Bills, Douglas Krum, Jacob Newsted, Renming Liu, Arjun Krishnan

Nucleic Acids Res., 2022

2021

PecanPy: a fast, efficient and parallelized Python implementation of node2vec.

Renming Liu, Arjun Krishnan

Bioinform., 2021

Reconciling multiple connectivity scores for drug repurposing.

Kewalin Samart, Phoebe Tuyishime, Arjun Krishnan, Janani Ravi

Briefings Bioinform., 2021

2020

Supervised learning is an accurate method for network-based gene classification.

Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan

Bioinform., 2020

2018

A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.

Aaditya V. Rangan, Caroline C. McGrouther, John Kelsoe, Nicholas J. Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga G. Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Juréus, Mikael Landen

PLoS Comput. Biol., 2018

GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.

Aaron K. Wong, Arjun Krishnan, Olga G. Troyanskaya

Nucleic Acids Res., 2018

2015

IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.

Aaron K. Wong, Arjun Krishnan, Victoria Yao, Alicja Tadych, Olga G. Troyanskaya

Nucleic Acids Res., 2015

FNTM: a server for predicting functional networks of tissues in mouse.

Jonathan Goya, Aaron K. Wong, Victoria Yao, Arjun Krishnan, Max Homilius, Olga G. Troyanskaya

Nucleic Acids Res., 2015

Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms.

Christopher Y. Park, Arjun Krishnan, Qian Zhu, Aaron K. Wong, Young-Suk Lee, Olga G. Troyanskaya

Bioinform., 2015

2013

Reconciling differential gene expression data with molecular interaction networks.

Christopher L. Poirel, Ahsanur Rahman, Richard R. Rodrigues, Arjun Krishnan, Jacqueline R. Addesa, T. M. Murali

Bioinform., 2013

Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies.

Young-Suk Lee, Arjun Krishnan, Qian Zhu, Olga G. Troyanskaya

Bioinform., 2013

Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation.

Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013