Sriram Sankararaman

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Biomedical Data

Sparsity Inducing

Summary Statistics

Feature Importance

Top Venues

Publications

Moonseong Jeong, Ali Pazokitoroudi, Zhengtong Liu, Sriram Sankararaman
Scalable Summary Statistics-Based Heritability Estimation Method with Individual Genotype Level Accuracy. RECOMB (2024)
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
MANOCCA: a robust and computationally efficient test of covariance in high-dimension multivariate omics data. Briefings Bioinform. 25 (4) (2024)
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
Personalized mood prediction from patterns of behavior collected with smartphones. npj Digit. Medicine 7 (1) (2024)
Boyang Fu, Prateek Anand, Aakarsh Anand, Joel Mefford, Sriram Sankararaman
A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits. RECOMB (2024)
Albert Xue, Jingyou Rao, Sriram Sankararaman, Harold Pimentel
dotears: Scalable, consistent DAG estimation using observational and interventional data. CoRR (2023)
Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck
Tractable and Expressive Generative Models of Genetic Variation Data. RECOMB (2022)
Ulzee An, Na Cai, Andy Dahl, Sriram Sankararaman
AutoComplete: Deep Learning-Based Phenotype Imputation for Large-Scale Biomedical Data. RECOMB (2022)
Leah Briscoe, Brunilda Balliu, Sriram Sankararaman, Eran Halperin, Nandita R. Garud
Evaluating supervised and unsupervised background noise correction in human gut microbiome data. PLoS Comput. Biol. 18 (2) (2022)
Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath
CONTRA: Contrarian statistics for controlled variable selection. AISTATS (2021)
Brandon Jew, Jiajin Li, Sriram Sankararaman, Jae Hoon Sul
An Efficient Linear Mixed Model Framework for Meta-Analytic Association Studies Across Multiple Contexts. WABI (2021)
Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain. CoRR (2021)
Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Pasaniuc, Sriram Sankararaman
Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits. PLoS Comput. Biol. 17 (10) (2021)
Erin K. Molloy, Arun Durvasula, Sriram Sankararaman
Advancing admixture graph estimation via maximum likelihood network orientation. Bioinform. 37 (Supplement) (2021)
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
Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging. npj Digit. Medicine 4 (2021)
Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Weiss-Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data. ICML (2021)
Arunabha Majumdar, Kathryn S. Burch, Tanushree Haldar, Sriram Sankararaman, Bogdan Pasaniuc, W. James Gauderman, John S. Witte
A two-step approach to testing overall effect of gene-environment interaction for multiple phenotypes. Bioinform. 36 (24) (2021)
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
Explaining Groups of Points in Low-Dimensional Representations. CoRR (2020)
Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach
Marginal Contribution Feature Importance - an Axiomatic Approach for The Natural Case. CoRR (2020)
Yue Wu, Eleazar Eskin, Sriram Sankararaman
A Unifying Framework for Imputing Summary Statistics in Genome-Wide Association Studies. J. Comput. Biol. 27 (3) (2020)
Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Pasaniuc, Sriram Sankararaman
A Scalable Method for Estimating the Regional Polygenicity of Complex Traits. RECOMB (2020)
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
Explaining Groups of Points in Low-Dimensional Representations. ICML (2020)
Ali Pazokitoroudi, Yue Wu, Kathryn S. Burch, Kangcheng Hou, Bogdan Pasaniuc, Sriram Sankararaman
Scalable Multi-component Linear Mixed Models with Application to SNP Heritability Estimation. RECOMB (2019)
Yue Wu, Anna Yaschenko, Mohammadreza Hajy Heydary, Sriram Sankararaman
Fast Estimation of Genetic Correlation for Biobank-Scale Data. RECOMB (2019)
Yue Wu, Eleazar Eskin, Sriram Sankararaman
A Unifying Framework for Summary Statistic Imputation. RECOMB (2018)
Ruth Johnson, Huwenbo Shi, Bogdan Pasaniuc, Sriram Sankararaman
A unifying framework for joint trait analysis under a non-infinitesimal model. Bioinform. 34 (13) (2018)
Yue Wu, Sriram Sankararaman
A scalable estimator of SNP heritability for biobank-scale data. Bioinform. 34 (13) (2018)
Elior Rahmani, Regev Schweiger, Saharon Rosset, Sriram Sankararaman, Eran Halperin
Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies. RECOMB (2018)
James Y. Zou, Eran Halperin, Esteban Gonzàlez Burchard, Sriram Sankararaman
Inferring parental genomic ancestries using pooled semi-Markov processes. Bioinform. 31 (12) (2015)
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
Analysis of Latino populations from GALA and MEC studies reveals genomic loci with biased local ancestry estimation. Bioinform. 29 (11) (2013)
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
Fast and accurate inference of local ancestry in Latino populations. Bioinform. 28 (10) (2012)
Sriram Sankararaman, Jay Chen, Lakshminarayanan Subramanian, Venugopalan Ramasubramanian
TrickleDNS: Bootstrapping DNS security using social trust. COMSNETS (2012)
Sriram Sankararaman, Fei Sha, Jack F. Kirsch, Michael I. Jordan, Kimmen Sjölander
Active site prediction using evolutionary and structural information. Bioinform. 26 (5) (2010)
Sriram Sankararaman, Bryan Kolaczkowski, Kimmen Sjölander
INTREPID: a web server for prediction of functionally important residues by evolutionary analysis. Nucleic Acids Res. 37 (Web-Server-Issue) (2009)
Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander
ResBoost: characterizing and predicting catalytic residues in enzymes. BMC Bioinform. 10 (2009)
Bogdan Pasaniuc, Sriram Sankararaman, Gad Kimmel, Eran Halperin
Inference of locus-specific ancestry in closely related populations. Bioinform. 25 (12) (2009)
Sriram Sankararaman, Gad Kimmel, Eran Halperin, Michael I. Jordan
On the Inference of Ancestries in Admixed Populations. RECOMB (2008)
Sriram Sankararaman, Kimmen Sjölander
INTREPID - INformation-theoretic TREe traversal for Protein functional site IDentification. Bioinform. 24 (21) (2008)
Sougata Mukherjea, L. Venkata Subramaniam, Gaurav Chanda, Sriram Sankararaman, Ravi Kothari, Vishal S. Batra, Deo N. Bhardwaj, Biplav Srivastava
Enhancing a biomedical information extraction system with dictionary mining and context disambiguation. IBM J. Res. Dev. 48 (5-6) (2004)