Arjun Krishnan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 11

Top Topics

Machine Learning

Top Venues

Nucleic Acids Res.

PLoS Comput. Biol.

Publications

Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan
Joint representation of molecular networks from multiple species improves gene classification. PLoS Comput. Biol. 20 (1) (2024)
Christopher A. Mancuso, Renming Liu, Arjun Krishnan
PyGenePlexus: a Python package for gene discovery using network-based machine learning. Bioinform. 39 (2) (2023)
Renming Liu, Arjun Krishnan
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. MLCB (2023)
Renming Liu, Matthew J. Hirn, Arjun Krishnan
. Bioinform. 39 (1) (2023)
Christopher A. Mancuso, Patrick S. Bills, Douglas Krum, Jacob Newsted, Renming Liu, Arjun Krishnan
GenePlexus: a web-server for gene discovery using network-based machine learning. Nucleic Acids Res. 50 (W1) (2022)
Renming Liu, Matthew Hirn, Arjun Krishnan
Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+. CoRR (2021)
Kewalin Samart, Phoebe Tuyishime, Arjun Krishnan, Janani Ravi
Reconciling multiple connectivity scores for drug repurposing. Briefings Bioinform. 22 (6) (2021)
Renming Liu, Arjun Krishnan
PecanPy: a fast, efficient and parallelized Python implementation of node2vec. Bioinform. 37 (19) (2021)
Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan
Supervised learning is an accurate method for network-based gene classification. Bioinform. 36 (11) (2020)
Aaron K. Wong, Arjun Krishnan, Olga G. Troyanskaya
GIANT 2.0: genome-scale integrated analysis of gene networks in tissues. Nucleic Acids Res. 46 (Webserver-Issue) (2018)
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
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. PLoS Comput. Biol. 14 (5) (2018)
Jonathan Goya, Aaron K. Wong, Victoria Yao, Arjun Krishnan, Max Homilius, Olga G. Troyanskaya
FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Res. 43 (Webserver-Issue) (2015)
Christopher Y. Park, Arjun Krishnan, Qian Zhu, Aaron K. Wong, Young-Suk Lee, Olga G. Troyanskaya
Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms. Bioinform. 31 (7) (2015)
Aaron K. Wong, Arjun Krishnan, Victoria Yao, Alicja Tadych, Olga G. Troyanskaya
IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Res. 43 (Webserver-Issue) (2015)
Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni
Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation. CDC (2013)
Christopher L. Poirel, Ahsanur Rahman, Richard R. Rodrigues, Arjun Krishnan, Jacqueline R. Addesa, T. M. Murali
Reconciling differential gene expression data with molecular interaction networks. Bioinform. 29 (5) (2013)
Young-Suk Lee, Arjun Krishnan, Qian Zhu, Olga G. Troyanskaya
Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies. Bioinform. 29 (23) (2013)