Arjun Krishnan

18 papers Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata.
Briefings Bioinform.
Hao Yuan, Parker Hicks, Mansooreh Ahmadian, Kayla A. Johnson, Lydia Valtadoros, Arjun Krishnan
2024 — conf
CONE: COntext-specific Network Embedding via Contextualized Graph Attention.
MLCB
Renming Liu, Hao Yuan, Kayla A. Johnson, Arjun Krishnan
2024 J jnl
Joint representation of molecular networks from multiple species improves gene classification.
PLoS Comput. Biol.
Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan
2023 J jnl
Accurately modeling biased random walks on weighted networks using
Bioinform.
Renming Liu, Matthew J. Hirn, Arjun Krishnan
2023 — conf
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks.
MLCB
Renming Liu, Arjun Krishnan
2023 J jnl
PyGenePlexus: a Python package for gene discovery using network-based machine learning.
Bioinform.
Christopher A. Mancuso, Renming Liu, Arjun Krishnan
2022 J jnl
GenePlexus: a web-server for gene discovery using network-based machine learning.
Nucleic Acids Res.
Christopher A. Mancuso, Patrick S. Bills, Douglas Krum, Jacob Newsted, Renming Liu, Arjun Krishnan
2021 J jnl
PecanPy: a fast, efficient and parallelized Python implementation of node2vec.
Bioinform.
Renming Liu, Arjun Krishnan
2021 J jnl
Reconciling multiple connectivity scores for drug repurposing.
Briefings Bioinform.
Kewalin Samart, Phoebe Tuyishime, Arjun Krishnan, Janani Ravi
2020 J jnl
Supervised learning is an accurate method for network-based gene classification.
Bioinform.
Renming Liu, Christopher A. Mancuso, Anna Yannakopoulos, Kayla A. Johnson, Arjun Krishnan
2018 J jnl
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.
PLoS Comput. Biol.
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
2018 J jnl
GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.
Nucleic Acids Res.
Aaron K. Wong, Arjun Krishnan, Olga G. Troyanskaya
2015 J jnl
FNTM: a server for predicting functional networks of tissues in mouse.
Nucleic Acids Res.
Jonathan Goya, Aaron K. Wong, Victoria Yao, Arjun Krishnan, Max Homilius, Olga G. Troyanskaya
2015 J jnl
IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Nucleic Acids Res.
Aaron K. Wong, Arjun Krishnan, Victoria Yao, Alicja Tadych, Olga G. Troyanskaya
2015 J jnl
Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms.
Bioinform.
Christopher Y. Park, Arjun Krishnan, Qian Zhu, Aaron K. Wong, Young-Suk Lee, Olga G. Troyanskaya
2013 J jnl
Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies.
Bioinform.
Young-Suk Lee, Arjun Krishnan, Qian Zhu, Olga G. Troyanskaya
2013 J jnl
Reconciling differential gene expression data with molecular interaction networks.
Bioinform.
Christopher L. Poirel, Ahsanur Rahman, Richard R. Rodrigues, Arjun Krishnan, Jacqueline R. Addesa, T. M. Murali
2013 — conf
Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation.
CDC
Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni