日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Gene trajectory inference for single-cell data by optimal transport metrics

利用最优传输指标对单细胞数据进行基因轨迹推断

Qu, Rihao; Cheng, Xiuyuan; Sefik, Esen; Stanley Iii, Jay S; Landa, Boris; Strino, Francesco; Platt, Sarah; Garritano, James; Odell, Ian D; Coifman, Ronald; Flavell, Richard A; Myung, Peggy; Kluger, Yuval

Cluster-independent multiscale marker identification in single-cell RNA-seq data using localized marker detector (LMD).

利用局部标记检测器(LMD)在单细胞 RNA-seq 数据中进行与簇无关的多尺度标记识别

Li Ruiqi, Qu Rihao, Parisi Fabio, Strino Francesco, Lam Hainan, Stanley Jay S 3rd, Cheng Xiuyuan, Myung Peggy, Kluger Yuval

The G -invariant graph Laplacian Part I: Convergence rate and eigendecomposition

G不变图拉普拉斯算子 第一部分:收敛速度和特征值分解

Rosen, Eitan; Hoyos, Paulina; Cheng, Xiuyuan; Kileel, Joe; Shkolnisky, Yoel

LMD: Cluster-Independent Multiscale Marker Identification in Single-cell RNA-seq Data

LMD:单细胞RNA测序数据中与簇无关的多尺度标记识别

Li, Ruiqi; Qu, Rihao; Parisi, Fabio; Strino, Francesco; Lam, Hainan; Stanley, Jay S; Cheng, Xiuyuan; Myung, Peggy; Kluger, Yuval

The G -invariant graph Laplacian part II: Diffusion maps

G 不变图拉普拉斯算子第二部分:扩散图

Rosen, Eitan; Cheng, Xiuyuan; Shkolnisky, Yoel

Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

双随机归一化图拉普拉斯算子:收敛于流形拉普拉斯算子且对异常噪声具有鲁棒性

Cheng, Xiuyuan; Landa, Boris

Classification logit two-sample testing by neural networks for differentiating near manifold densities

基于神经网络的分类logit双样本检验用于区分近流形密度

Cheng, Xiuyuan; Cloninger, Alexander

Detection of differentially abundant cell subpopulations in scRNA-seq data

在单细胞RNA测序数据中检测差异丰度细胞亚群

Zhao, Jun; Jaffe, Ariel; Li, Henry; Lindenbaum, Ofir; Sefik, Esen; Jackson, Ruaidhrí; Cheng, Xiuyuan; Flavell, Richard A; Kluger, Yuval

Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian

谱嵌入范数:深入探究图拉普拉斯算子的谱

Cheng, Xiuyuan; Mishne, Gal