Sriram Sankararaman

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Personalized mood prediction from patterns of behavior collected with smartphones.

Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint

npj Digit. Medicine, 2024

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

Christophe Boetto, Arthur Frouin, Léo Henches, Antoine Auvergne, Yuka Suzuki, Etienne Patin, Marius Bredon, Alec Chiu, Milieu Interieur Consortium, Sriram Sankararaman, Noah Zaitlen, Sean P. Kennedy, Lluis Quintana-Murci, Darragh Duffy, Harry Sokol, Hugues Aschard

Briefings Bioinform., 2024

Scalable Summary Statistics-Based Heritability Estimation Method with Individual Genotype Level Accuracy.

Moonseong Jeong, Ali Pazokitoroudi, Zhengtong Liu, Sriram Sankararaman

Proceedings of the Research in Computational Molecular Biology, 2024

A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits.

Boyang Fu, Prateek Anand, Aakarsh Anand, Joel Mefford, Sriram Sankararaman

Proceedings of the Research in Computational Molecular Biology, 2024

2023

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

Albert Xue, Jingyou Rao, Sriram Sankararaman, Harold Pimentel

CoRR, 2023

2022

Evaluating supervised and unsupervised background noise correction in human gut microbiome data.

Leah Briscoe, Brunilda Balliu, Sriram Sankararaman, Eran Halperin, Nandita R. Garud

PLoS Comput. Biol., 2022

Tractable and Expressive Generative Models of Genetic Variation Data.

Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck

Proceedings of the Research in Computational Molecular Biology, 2022

AutoComplete: Deep Learning-Based Phenotype Imputation for Large-Scale Biomedical Data.

Ulzee An, Na Cai, Andy Dahl, Sriram Sankararaman

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.

Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Pasaniuc, Sriram Sankararaman

PLoS Comput. Biol., 2021

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging.

Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, Eran Halperin

npj Digit. Medicine, 2021

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

Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh

CoRR, 2021

Advancing admixture graph estimation via maximum likelihood network orientation.

Erin K. Molloy, Arun Durvasula, Sriram Sankararaman

Bioinform., 2021

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

Arunabha Majumdar, Kathryn S. Burch, Tanushree Haldar, Sriram Sankararaman, Bogdan Pasaniuc, W. James Gauderman, John S. Witte

Bioinform., 2021

An Efficient Linear Mixed Model Framework for Meta-Analytic Association Studies Across Multiple Contexts.

Brandon Jew, Jiajin Li, Sriram Sankararaman, Jae Hoon Sul

Proceedings of the 21st International Workshop on Algorithms in Bioinformatics, 2021

Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data.

Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Weiss-Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach

Proceedings of the 38th International Conference on Machine Learning, 2021

CONTRA: Contrarian statistics for controlled variable selection.

Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath

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.

Yue Wu, Eleazar Eskin, Sriram Sankararaman

J. Comput. Biol., 2020

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

Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach

CoRR, 2020

A Scalable Method for Estimating the Regional Polygenicity of Complex Traits.

Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Pasaniuc, Sriram Sankararaman

Proceedings of the Research in Computational Molecular Biology, 2020

Explaining Groups of Points in Low-Dimensional Representations.

Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Fast Estimation of Genetic Correlation for Biobank-Scale Data.

Yue Wu, Anna Yaschenko, Mohammadreza Hajy Heydary, Sriram Sankararaman

Proceedings of the Research in Computational Molecular Biology, 2019

Scalable Multi-component Linear Mixed Models with Application to SNP Heritability Estimation.

Ali Pazokitoroudi, Yue Wu, Kathryn S. Burch, Kangcheng Hou, Bogdan Pasaniuc, Sriram Sankararaman

Proceedings of the Research in Computational Molecular Biology, 2019

2018

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

Yue Wu, Sriram Sankararaman

Bioinform., 2018

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

Ruth Johnson, Huwenbo Shi, Bogdan Pasaniuc, Sriram Sankararaman

Bioinform., 2018

A Unifying Framework for Summary Statistic Imputation.

Yue Wu, Eleazar Eskin, Sriram Sankararaman

Proceedings of the Research in Computational Molecular Biology, 2018

Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies.

Elior Rahmani, Regev Schweiger, Saharon Rosset, Sriram Sankararaman, Eran Halperin

Proceedings of the Research in Computational Molecular Biology, 2018

2015

Inferring parental genomic ancestries using pooled semi-Markov processes.

James Y. Zou, Eran Halperin, Esteban Gonzàlez Burchard, Sriram Sankararaman

Bioinform., 2015

2013

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

Bogdan Pasaniuc, Sriram Sankararaman, Dara G. Torgerson, Christopher Gignoux, Noah Zaitlen, Celeste Eng, William Rodriguez-Cintron, Rocio Chapela, Jean G. Ford, Pedro C. Avila, Jose Rodriguez-Santana, Gary K. Chen, Loic Le Marchand, Brian E. Henderson, David Reich, Christopher A. Haiman, Esteban Gonzàlez Burchard, Eran Halperin

Bioinform., 2013

2012

Fast and accurate inference of local ancestry in Latino populations.

Yael Baran, Bogdan Pasaniuc, Sriram Sankararaman, Dara G. Torgerson, Christopher Gignoux, Celeste Eng, William Rodriguez-Cintron, Rocio Chapela, Jean G. Ford, Pedro C. Avila, Jose Rodriguez-Santana, Esteban Gonzàlez Burchard, Eran Halperin

Bioinform., 2012

TrickleDNS: Bootstrapping DNS security using social trust.

Sriram Sankararaman, Jay Chen, Lakshminarayanan Subramanian, Venugopalan Ramasubramanian

Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012

2010

Statistical models for analyzing human genetic variation.

Sriram Sankararaman

PhD thesis, 2010

Active site prediction using evolutionary and structural information.

Sriram Sankararaman, Fei Sha, Jack F. Kirsch, Michael I. Jordan, Kimmen Sjölander

Bioinform., 2010

2009

INTREPID: a web server for prediction of functionally important residues by evolutionary analysis.

Sriram Sankararaman, Bryan Kolaczkowski, Kimmen Sjölander

Nucleic Acids Res., 2009

ResBoost: characterizing and predicting catalytic residues in enzymes.

Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander

BMC Bioinform., 2009

Inference of locus-specific ancestry in closely related populations.

Bogdan Pasaniuc, Sriram Sankararaman, Gad Kimmel, Eran Halperin

Bioinform., 2009

2008

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

Sriram Sankararaman, Kimmen Sjölander

Bioinform., 2008

On the Inference of Ancestries in Admixed Populations.

Sriram Sankararaman, Gad Kimmel, Eran Halperin, Michael I. Jordan

Proceedings of the Research in Computational Molecular Biology, 2008

2004

Enhancing a biomedical information extraction system with dictionary mining and context disambiguation.

Sougata Mukherjea, L. Venkata Subramaniam, Gaurav Chanda, Sriram Sankararaman, Ravi Kothari, Vishal S. Batra, Deo N. Bhardwaj, Biplav Srivastava

IBM J. Res. Dev., 2004