Ritambhara Singh

Carsten Eickhoff

Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

Breaking isometric ties and introducing priors in Gromov-Wasserstein distances.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Revisiting invariances and introducing priors in Gromov-Wasserstein distances.

[BibT_eX]

[DOI]

CoRR, 2023

One-Versus-Others Attention: Scalable Multimodal Integration.

[BibT_eX]

[DOI]

CoRR, 2023

Unbalanced CO-optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Single-Cell Multiomics Integration by SCOT.

[BibT_eX]

[DOI]

Pinar Demetci

Rebecca Santorella

Björn Sandstede

J. Comput. Biol., 2022

SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport.

[BibT_eX]

[DOI]

Pinar Demetci

Rebecca Santorella

Björn Sandstede

J. Comput. Biol., 2022

SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation.

[BibT_eX]

[DOI]

J. Comput. Biol., 2022

Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks.

[BibT_eX]

[DOI]

J. Comput. Biol., 2022

Multimodal attention-based deep learning for Alzheimer's disease diagnosis.

[BibT_eX]

[DOI]

Michal Golovanevsky

Carsten Eickhoff

J. Am. Medical Informatics Assoc., 2022

Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2022

2021

TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2021

A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

FastSK: fast sequence analysis with gapped string kernels.

[BibT_eX]

[DOI]

Bioinform., 2020

Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the From Data to Models and Back - 9th International Symposium, 2020

Unsupervised manifold alignment for single-cell multi-omics data.

[BibT_eX]

[DOI]

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Jointly Embedding Multiple Single-Cell Omics Measurements.

[BibT_eX]

[DOI]

Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019

2018

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

[BibT_eX]

[DOI]

Arshdeep Sekhon

Bioinform., 2018

2017

A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.

[BibT_eX]

[DOI]

Beilun Wang

Mach. Learn., 2017

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Memory Matching Networks for Genomic Sequence Classification.

[BibT_eX]

[DOI]

Jack Lanchantin

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models.

[BibT_eX]

[DOI]

Beilun Wang

CoRR, 2016

Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Motif: Visualizing Genomic Sequence Classifications.

[BibT_eX]

[DOI]

CoRR, 2016

DeepChrome: deep-learning for predicting gene expression from histone modifications.

[BibT_eX]

[DOI]

Bioinform., 2016

Character based String Kernels for Bio-Entity Relation Detection.

[BibT_eX]

[DOI]