Sriram Sankararaman

Professor

Departments of Computer Science University of California, Los Angeles;Department of Human Genetics, University of California, Los Angeles;Department of Computational Medicine, University of California, Los Angeles

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基本信息

Career Trajectory

Bio

My interests lie at the interface of computer science, statistics and biology. I am interested in developing statistical and computational tools to understand evolution as well as the genetic basis of complex phenotypes. I am also interested in the statistical and inferential challenges posed by the scale of genomic data.

Research Interests

Papers共 134 篇Author StatisticsCo-AuthorSimilar Experts

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期刊级别

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合作机构

A Scalable and Robust Variance Components Method Reveals Insights into the Architecture of Gene-Environment Interactions Underlying Complex Traits

Ali Pazokitoroudi, Zhengtong Liu,Andrew Dahl,Noah Zaitlen,Saharon Rosset,Sriram Sankararaman

The American Journal of Human Geneticsno. 7 (2024): 1462-1480

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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 Freimer,Eran Halperin,Sriram Sankararaman,Jonathan Flint

NPJ digital medicineno. 1 (2024): 49-49

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Single-cell DNA Methylome and 3D Genome Atlas of the Human Subcutaneous Adipose Tissue

Zeyuan Johnson Chen,Sankha Subhra Das,Asha Kar,Seung Hyuk T Lee, Kevin D Abuhanna,Marcus Alvarez, Mihir G Sukhatme, Kyla Z Gelev,Matthew G Heffel, Yi Zhang,Oren Avram,Elior Rahmani,Sriram Sankararaman,Sini Heinonen,Hilkka Peltoniemi,Eran Halperin,Kirsi H Pietiläinen,Chongyuan Luo,Päivi Pajukanta

bioRxiv the preprint server for biology (2024)

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

Moonseong Jeong,Ali Pazokitoroudi, Zhengtong Liu,Sriram Sankararaman

GENOME RESEARCHno. 9 (2024): 1286-1293

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Identifying Novel Genetic and Phenotypic Associations to Genomic Features by Leveraging Off-Target Reads in Exome Sequencing Data

Defne Ercelen,Christa Caggiano,Richard Border,Sriram Sankararaman,Serghei Mangul,Noah Zaitlen, Michael Thompson

biorxiv（2024）

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Characterizing the Genetic Architecture of Drug Response Using Gene-Context Interaction Methods

Michal Sadowski,Mike Thompson,Joel Mefford,Tanushree Haldar,Akinyemi Oni-Orisan,Richard Border,Ali Pazokitoroudi,Na Cai,Julien F. Ayroles,Sriram Sankararaman,Andy W. Dahl,Noah Zaitlen

CELL GENOMICSno. 12 (2024)

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

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

GENOME RESEARCH（2024）

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Epigenetic Patient Stratification Via Contrastive Machine Learning Refines Hallmark Biomarkers in Minoritized Children with Asthma

Aditya Gorla,Jonathan Witonsky,Jennifer R Elhawary,Zeyuan Johnson Chen,Joel Mefford,Javier Perez-Garcia,Scott Huntsman,Donglei Hu,Celeste Eng,Prescott G Woodruff,Sriram Sankararaman,Elad Ziv,Jonathan Flint,Noah Zaitlen,Esteban Burchard,Elior Rahmani

Research square (2024)

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Simple Models of Non-Random Mating and Environmental Transmission Bias Standard Human Genetics Statistical Methods

Richard Border, Jeremy Wang,Christa Caggiano,Sriram Sankararaman,Andrew J Schork,Patrick Turley, Alexander S Young,Daniel J Benjamin,Andrew W Dahl,Noah Zaitlen

biorxiv（2024）

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Leveraging Protein Language Models to Identify Complex Trait Associations with Previously Inaccessible Classes of Functional Rare Variants

Seon-Kyeong Jang, Zitian Wang,Richard Border,Angela Wei, Ulzee An,Sriram Sankararaman,Vasilis Ntranos, Jonathan Flint,Noah Zaitlen

crossref（2024）

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Author Statistics

#Papers: 134

#Citation: 10343

H-Index: 36

G-Index: 90

Sociability: 6

Diversity: 3

Activity: 38

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