Arjun Krishnan

Orcid: 0000-0002-7980-4110

According to our database1, Arjun Krishnan authored at least 16 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Joint representation of molecular networks from multiple species improves gene classification.
PLoS Comput. Biol., January, 2024

2023
PyGenePlexus: a Python package for gene discovery using network-based machine learning.
Bioinform., February, 2023

Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>.
Bioinform., January, 2023

Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks.
Proceedings of the Machine Learning in Computational Biology, November 30, 2023

2022
GenePlexus: a web-server for gene discovery using network-based machine learning.
Nucleic Acids Res., 2022

2021
PecanPy: a fast, efficient and parallelized Python implementation of node2vec.
Bioinform., 2021

Reconciling multiple connectivity scores for drug repurposing.
Briefings Bioinform., 2021

2020
Supervised learning is an accurate method for network-based gene classification.
Bioinform., 2020

2018
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.
PLoS Comput. Biol., 2018

GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.
Nucleic Acids Res., 2018

2015
IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Nucleic Acids Res., 2015

FNTM: a server for predicting functional networks of tissues in mouse.
Nucleic Acids Res., 2015

Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms.
Bioinform., 2015

2013
Reconciling differential gene expression data with molecular interaction networks.
Bioinform., 2013

Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies.
Bioinform., 2013

Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


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