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Arjun Krishnan
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2020 – today
- 2024
- [j14]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) - 2023
- [j13]Renming Liu, Matthew J. Hirn, Arjun Krishnan:
Accurately modeling biased random walks on weighted networks using node2vec+. Bioinform. 39(1) (2023) - [j12]Christopher A. Mancuso, Renming Liu, Arjun Krishnan:
PyGenePlexus: a Python package for gene discovery using network-based machine learning. Bioinform. 39(2) (2023) - [c2]Renming Liu, Arjun Krishnan:
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. MLCB 2023: 23-59 - 2022
- [j11]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): 358-366 (2022) - 2021
- [j10]Kewalin Samart, Phoebe Tuyishime, Arjun Krishnan, Janani Ravi:
Reconciling multiple connectivity scores for drug repurposing. Briefings Bioinform. 22(6) (2021) - [j9]Renming Liu, Arjun Krishnan:
PecanPy: a fast, efficient and parallelized Python implementation of node2vec. Bioinform. 37(19): 3377-3379 (2021) - 2020
- [j8]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): 3457-3465 (2020)
2010 – 2019
- 2018
- [j7]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): W65-W70 (2018) - [j6]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) - 2015
- [j5]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): 1093-1101 (2015) - [j4]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): W128-W133 (2015) - [j3]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): W182-W187 (2015) - 2013
- [j2]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): 622-629 (2013) - [j1]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): 3036-3044 (2013) - [c1]Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni:
Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation. CDC 2013: 4068-4073
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