Anshul Kundaje
According to our database1,
Anshul Kundaje
authored at least 20 papers
between 2004 and 2019.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Homepages:
-
at orcid.org
On csauthors.net:
Bibliography
2019
GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs.
Bioinformatics, 2019
Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts.
Bioinformatics, 2019
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
Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 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.
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