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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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