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

SnakeAltPromoter Facilitates Differential Alternative Promoter Analysis

SnakeAltPromoter 促进差异性替代启动子分析

Tan, Jiang; Wu, Yuqing; Barve, Ruteja; Lalmansingh, Jared; Li, Fuhai; Payne, Philip; Kong, Nahyun; Jin, Sheng Chih; Shan, Yuqi; Zhou, Ruiwen; Ge, Xinzhou; Li, Jingyi Jessica; Head, Richard; Sun, Yidan

mcRigor: A Statistical Software Package for Evaluating and Optimizing Metacell Partitioning in Single-Cell Data Analysis

mcRigor:用于评估和优化单细胞数据分析中元细胞划分的统计软件包

Liu, Pan; Li, Jingyi Jessica

Systematic mapping of emergent transcriptional states in interacting single-cell dyads by Cell-Cell-seq

利用细胞-细胞测序技术系统地绘制相互作用的单细胞二元体中涌现的转录状态图谱

Baghdasarian, Sevana; Wang, Qingyang; Langerman, Justin; Mao, Zhiyuan; Wright, Heather; Gee, Caitlin; Cheng, Donghui; McLaughlin, Jami; Lee, John K; Chen, Xiaojing; Garcia, K Christopher; Li, Jingyi Jessica; Witte, Owen N; Plath, Kathrin; Di Carlo, Dino

Decoding heterogeneous single-cell perturbation responses.

解码异质性单细胞扰动反应

Song Bicna, Liu Dingyu, Dai Weiwei, McMyn Natalie F, Wang Qingyang, Yang Dapeng, Krejci Adam, Vasilyev Anatoly, Untermoser Nicole, Loregger Anke, Song Dongyuan, Williams Breanna, Rosen Bess, Cheng Xiaolong, Chao Lumen, Kale Hanuman T, Zhang Hao, Diao Yarui, Bürckstümmer Tilmann, Siliciano Janet D, Li Jingyi Jessica, Siliciano Robert F, Huangfu Danwei, Li Wei

Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq

蠕虫扰动测序:大规模并行全动物RNAi和RNA测序

Zhang, Hefei; Li, Xuhang; Song, Dongyuan; Yukselen, Onur; Nanda, Shivani; Kucukural, Alper; Li, Jingyi Jessica; Garber, Manuel; Walhout, Albertha J M

mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data analysis

mcRigor:一种增强单细胞数据分析中元细胞划分严谨性的统计方法

Liu, Pan; Li, Jingyi Jessica

CellScope: high-performance cell atlas workflow with tree-structured representation

CellScope:具有树状结构表示的高性能细胞图谱工作流程

Li, Bingjie; Lin, Runyu; Ni, Tianhao; Yan, Guanao; Burns, Mannix; Li, Jingyi Jessica; Yao, Zhigang

Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data

对34种用于从空间分辨转录组学数据中检测空间变异基因的计算方法进行分类

Yan, Guanao; Hua, Shuo Harper; Li, Jingyi Jessica

Systematic benchmarking of computational methods to identify spatially variable genes

对用于识别空间变异基因的计算方法进行系统性基准测试

Li, Zhijian; M Patel, Zain; Song, Dongyuan; Yasa, Sai Nirmayi; Cannoodt, Robrecht; Yan, Guanao; Li, Jingyi Jessica; Pinello, Luca

Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations

要警惕在具有强内部相关性的数据集中出现反直觉的高水平错误发现。

Kanduri, Chakravarthi; Mamica, Maria; Olstad, Emilie Willoch; Zucknick, Manuela; Li, Jingyi Jessica; Sandve, Geir Kjetil