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

Representation learning of single-cell RNA-seq data

单细胞RNA测序数据的表征学习

Ahlmann-Eltze, Constantin; Barkmann, Florian; Lause, Jan; Boeva, Valentina; Kobak, Dmitry

Delving into LLM-assisted writing in biomedical publications through excess vocabulary

通过词汇过剩深入探讨LLM辅助的生物医学出版物写作

Kobak, Dmitry; González-Márquez, Rita; Horvát, Emőke-Ágnes; Lause, Jan

Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron types

统计-生物物理联合建模将离子通道基因与皮层神经元类型的生理功能联系起来

Bernaerts, Yves; Deistler, Michael; Gonçalves, Pedro J; Beck, Jonas; Stimberg, Marcel; Scala, Federico; Tolias, Andreas S; Macke, Jakob; Kobak, Dmitry; Berens, Philipp

Principled PCA separates signal from noise in omics count data.

基于原理的主成分分析 (PCA) 可将组学计数数据中的信号与噪声分离

Stanley Jay S 3rd, Yang Junchen, Li Ruiqi, Lindenbaum Ofir, Kobak Dmitry, Landa Boris, Kluger Yuval

The landscape of biomedical research

生物医学研究概况

González-Márquez, Rita; Schmidt, Luca; Schmidt, Benjamin M; Berens, Philipp; Kobak, Dmitry

The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense

洞察显而易见的问题:单细胞数据的二维嵌入确实有意义

Lause, Jan; Berens, Philipp; Kobak, Dmitry

Visualizing single-cell data with the neighbor embedding spectrum

利用邻域嵌入谱可视化单细胞数据

Damrich, Sebastian; Klockow, Manuel V; Berens, Philipp; Hamprecht, Fred A; Kobak, Dmitry

Distinct organization of two cortico-cortical feedback pathways

两种皮层间反馈通路的不同组织结构

Shen, Shan; Jiang, Xiaolong; Scala, Federico; Fu, Jiakun; Fahey, Paul; Kobak, Dmitry; Tan, Zhenghuan; Zhou, Na; Reimer, Jacob; Sinz, Fabian; Tolias, Andreas S

Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data

用于单细胞 RNA-seq UMI 数据归一化的分析 Pearson 残差

Lause, Jan; Berens, Philipp; Kobak, Dmitry

Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

利用世界死亡率数据集追踪新冠肺炎疫情期间各国超额死亡率

Karlinsky, Ariel; Kobak, Dmitry