Anshul Kundaje

According to our database1, Anshul Kundaje authored at least 17 papers between 2004 and 2018.

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Bibliography

2018
GenomeDISCO: a concordance score for chromosome conformation capture experiments using random walks on contact map graphs.
Bioinformatics, 2018

Discovering epistatic feature interactions from neural network models of regulatory DNA sequences.
Bioinformatics, 2018

2017
Vicus: Exploiting local structures to improve network-based analysis of biological data.
PLoS Computational Biology, 2017

Denoising genome-wide histone ChIP-seq with convolutional neural networks.
Bioinformatics, 2017

Learning Important Features Through Propagating Activation Differences.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Integrative analysis of 111 reference human epigenomes Open.
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Nature, 2015

2014
Comparative analysis of metazoan chromatin organization Open.
Nature, 2014

Comparative analysis of regulatory information and circuits across distant species Open.
Nature, 2014

2013
Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements.
TinyToCS, 2013

2008
A Predictive Model of the Oxygen and Heme Regulatory Network in Yeast.
PLoS Computational Biology, 2008

2006
A classification-based framework for predicting and analyzing gene regulatory response.
BMC Bioinformatics, 2006

2005
Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

Motif Discovery Through Predictive Modeling of Gene Regulation.
Proceedings of the Research in Computational Molecular Biology, 2005

2004
Spectrogram Analysis of Genomes.
EURASIP J. Adv. Sig. Proc., 2004

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response.
Proceedings of the Regulatory Genomics, 2004

Predicting genetic regulatory response using classification.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004


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