Search Results - "Lin, Kevin Z."
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eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings
Published in BMC bioinformatics (15-03-2024)“…Single-cell RNA-sequencing (scRNA) datasets are becoming increasingly popular in clinical and cohort studies, but there is a lack of methods to investigate…”
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Destin2: Integrative and cross-modality analysis of single-cell chromatin accessibility data
Published in Frontiers in genetics (17-02-2023)“…We propose Destin2, a novel statistical and computational method for cross-modality dimension reduction, clustering, and trajectory reconstruction for…”
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Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models
Published in Journal of the American Statistical Association (02-10-2023)“…We consider the problem of estimating common community structures in multi-layer stochastic block models, where each single layer may not have sufficient…”
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Post‐selection inference for changepoint detection algorithms with application to copy number variation data
Published in Biometrics (01-09-2021)“…Changepoint detection methods are used in many areas of science and engineering, for example, in the analysis of copy number variation data to detect…”
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Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data
Published in Journal of the American Statistical Association (2021)“…Scientists often embed cells into a lower-dimensional space when studying single-cell RNA-seq data for improved downstream analyses such as developmental…”
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All the single cells: Single‐cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists
Published in Glia (19-11-2024)“…Abstract Single‐cell transcriptomics, epigenomics, and other ‘omics applied at single‐cell resolution can significantly advance hypotheses and understanding of…”
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Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection
Published in Journal of the American Statistical Association (2021)“…Risk for autism can be influenced by genetic mutations in hundreds of genes. Based on findings showing that genes with highly correlated gene expressions are…”
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Quantifying common and distinct information in single-cell multimodal data with Tilted Canonical Correlation Analysis
Published in Proceedings of the National Academy of Sciences - PNAS (08-08-2023)“…Multimodal single-cell technologies profile multiple modalities for each cell simultaneously, enabling a more thorough characterization of cell populations…”
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Integration of spatial and single-cell data across modalities with weakly linked features
Published in Nature biotechnology (01-07-2024)“…Although single-cell and spatial sequencing methods enable simultaneous measurement of more than one biological modality, no technology can capture all…”
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Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
Published 08-03-2024“…We consider a time-ordered sequence of networks stemming from stochastic block models where nodes gradually change memberships over time and no network at any…”
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All the single cells: single-cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists
Published 12-08-2024“…Single-cell transcriptomics, epigenomics, and other 'omics applied at single-cell resolution can significantly advance hypotheses and understanding of glial…”
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Bias-adjusted spectral clustering in multi-layer stochastic block models
Published 18-03-2020“…We consider the problem of estimating common community structures in multi-layer stochastic block models, where each single layer may not have sufficient…”
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Covariance-based sample selection for heterogeneous data: Applications to gene expression and autism risk gene detection
Published 19-12-2018“…Risk for autism can be influenced by genetic mutations in hundreds of genes. Based on findings showing that genes with highly correlated gene expressions are…”
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Controlled Analyses of Social Biases in Wikipedia Bios
Published 09-02-2022“…Social biases on Wikipedia, a widely-read global platform, could greatly influence public opinion. While prior research has examined man/woman gender bias in…”
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