Sriram Sankararaman

Orcid: 0000-0003-1586-9641

According to our database1, Sriram Sankararaman authored at least 38 papers between 2004 and 2024.

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Bibliography

2024
Personalized mood prediction from patterns of behavior collected with smartphones.
npj Digit. Medicine, 2024

MANOCCA: a robust and computationally efficient test of covariance in high-dimension multivariate omics data.
Briefings Bioinform., 2024

Scalable Summary Statistics-Based Heritability Estimation Method with Individual Genotype Level Accuracy.
Proceedings of the Research in Computational Molecular Biology, 2024

A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits.
Proceedings of the Research in Computational Molecular Biology, 2024

2023
dotears: Scalable, consistent DAG estimation using observational and interventional data.
CoRR, 2023

2022
Evaluating supervised and unsupervised background noise correction in human gut microbiome data.
PLoS Comput. Biol., 2022

Tractable and Expressive Generative Models of Genetic Variation Data.
Proceedings of the Research in Computational Molecular Biology, 2022

AutoComplete: Deep Learning-Based Phenotype Imputation for Large-Scale Biomedical Data.
Proceedings of the Research in Computational Molecular Biology, 2022

2021
Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits.
PLoS Comput. Biol., 2021

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging.
npj Digit. Medicine, 2021

Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain.
CoRR, 2021

Advancing admixture graph estimation via maximum likelihood network orientation.
Bioinform., 2021

A two-step approach to testing overall effect of gene-environment interaction for multiple phenotypes.
Bioinform., 2021

An Efficient Linear Mixed Model Framework for Meta-Analytic Association Studies Across Multiple Contexts.
Proceedings of the 21st International Workshop on Algorithms in Bioinformatics, 2021

Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

CONTRA: Contrarian statistics for controlled variable selection.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A Unifying Framework for Imputing Summary Statistics in Genome-Wide Association Studies.
J. Comput. Biol., 2020

Marginal Contribution Feature Importance - an Axiomatic Approach for The Natural Case.
CoRR, 2020

A Scalable Method for Estimating the Regional Polygenicity of Complex Traits.
Proceedings of the Research in Computational Molecular Biology, 2020

Explaining Groups of Points in Low-Dimensional Representations.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Fast Estimation of Genetic Correlation for Biobank-Scale Data.
Proceedings of the Research in Computational Molecular Biology, 2019

Scalable Multi-component Linear Mixed Models with Application to SNP Heritability Estimation.
Proceedings of the Research in Computational Molecular Biology, 2019

2018
A scalable estimator of SNP heritability for biobank-scale data.
Bioinform., 2018

A unifying framework for joint trait analysis under a non-infinitesimal model.
Bioinform., 2018

A Unifying Framework for Summary Statistic Imputation.
Proceedings of the Research in Computational Molecular Biology, 2018

Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies.
Proceedings of the Research in Computational Molecular Biology, 2018

2015
Inferring parental genomic ancestries using pooled semi-Markov processes.
Bioinform., 2015

2013
Analysis of Latino populations from GALA and MEC studies reveals genomic loci with biased local ancestry estimation.
Bioinform., 2013

2012
Fast and accurate inference of local ancestry in Latino populations.
Bioinform., 2012

TrickleDNS: Bootstrapping DNS security using social trust.
Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012

2010
Statistical models for analyzing human genetic variation.
PhD thesis, 2010

Active site prediction using evolutionary and structural information.
Bioinform., 2010

2009
INTREPID: a web server for prediction of functionally important residues by evolutionary analysis.
Nucleic Acids Res., 2009

ResBoost: characterizing and predicting catalytic residues in enzymes.
BMC Bioinform., 2009

Inference of locus-specific ancestry in closely related populations.
Bioinform., 2009

2008
INTREPID - INformation-theoretic TREe traversal for Protein functional site IDentification.
Bioinform., 2008

On the Inference of Ancestries in Admixed Populations.
Proceedings of the Research in Computational Molecular Biology, 2008

2004
Enhancing a biomedical information extraction system with dictionary mining and context disambiguation.
IBM J. Res. Dev., 2004


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