Jing Lei

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Associate Professor

Carnegie Mellon University

United States

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Spectral and principal components analysis in sparse, high-dimensional data

Open Date: 2014-08-01

Close Date: 2017-07-31

Articles (10)

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (2)

Kathryn Roeder

Professor

Carnegie Mellon University

UNITED STATES

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Jiebiao Wang

University of Pittsburgh

UNITED STATES

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Jing Lei

Research Interests

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Recent Grants

Articles (10)

From local to global gene co-expression estimation using single-cell RNA-seq data

Gradient-based sparse principal component analysis with extensions to online learning

A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum

Model-free prediction test with application to genomics data

Consistent estimation of the number of communities in stochastic block models using cross‐validation

Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models

Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.

Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data

Network representation using graph root distributions

Cross-Validation With Confidence

Collaborators (2)

Kathryn Roeder

Jiebiao Wang

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