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

CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data

CanSig 基准方法用于从单细胞转录组数据中发现可重复的癌细胞状态

Barkmann, Florian; Yates, Josephine; Czyż, Paweł; Kraft, Agnieszka; Glettig, Marc; Beerenwinkel, Niko; Boeva, Valentina

Sputnik V update: safety and neutralizing antibodies in healthy adults and adolescents

Sputnik V 最新进展:健康成人和青少年中的安全性和中和抗体

Shuliakova, Inna V; Grousova, Daria M; Iliukhina, Anna A; Dzharullaeva, Alina S; Lubenets, Nadezhda L; Ordzhonikidze, Maria K; Izhaeva, Fatima M; Erokhova, Alina S; Zorkov, Ilya D; Azizyan, Valentin V; Boeva, Zoya D; Reshetnikov, Dmitrii A; Ermolova, Irina A; Lega, Vladislav A; Kovyrshina, Anna V; Bukhtin, Kirill M; Romanova, Lyubov P; Alekseeva, Ekaterina I; Borzakova, Svetlana N; Rachina, Svetlana A; Rusanova, Marina G; Ozharovskaia, Tatiana A; Popova, Olga; Zrelkin, Denis I; Zubkova, Olga V; Tukhvatulin, Amir I; Tukhvatulina, Natalia M; Shcheblyakov, Dmitrii V; Favorskaya, Irina A; Esmagambetov, Ilias B; Karpov, Andrey P; Semikhin, Aleksandr S; Pochtovyi, Andrey A; Naroditskiy, Boris S; Gushchin, Vladimir A; Gintsburg, Aleksandr L; Logunov, Denis Y

Early feature extraction drives model performance in high-resolution chromatin accessibility prediction

早期特征提取可提升高分辨率染色质可及性预测的模型性能

Grover, Aayush; Muser, Till; Kasak, Liine; Zhang, Lin; Krymova, Ekaterina; Boeva, Valentina

Robust and efficient annotation of cell states through gene signature scoring

通过基因特征评分对细胞状态进行稳健高效的注释

Ciernik, Laure; Kraft, Agnieszka; Barkmann, Florian; Yates, Josephine; Boeva, Valentina

Trogocytosis and Allergy

吞噬作用和过敏

Boeva, Olga Sergeevna; Abbasova, Veronika Sergeevna; Kozlov, Vladimir Aleksandrovich; Pashkina, Ekaterina Aleksandrovna

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

MIRO2-mediated mitochondrial transfer from cancer cells induces cancer-associated fibroblast differentiation

MIRO2介导的线粒体从癌细胞转移可诱导癌相关成纤维细胞分化。

Michael Cangkrama ,Huan Liu ,Xiaoyu Wu ,Josephine Yates # ,James Whipman # ,Christoph G Gäbelein ,Mai Matsushita ,Luca Ferrarese ,Sibilla Sander ,Francesc Castro-Giner ,Simran Asawa ,Magdalena K Sznurkowska ,Manfred Kopf ,Jörn Dengjel ,Valentina Boeva ,Nicola Aceto ,Julia A Vorholt ,Sabine Werner

Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma.

原发性和转移性食管腺癌不同临床阶段的细胞状态和邻近区域

Yates Josephine, Mathey-Andrews Camille, Park Jihye, Garza Amanda, Gagné Andréanne, Hoffman Samantha, Bi Kevin, Titchen Breanna, Hennessey Connor, Remland Joshua, Carnes Matthew, Shannon Erin, Camp Sabrina, Balamurali Siddhi, Cavale Shweta Kiran, Li Zhixin, Raghawan Akhouri Kishore, Kraft Agnieszka, Boland Genevieve, Aguirre Andrew J, Sethi Nilay S, Boeva Valentina, Van Allen Eliezer M

Filtering cells with high mitochondrial content depletes viable metabolically altered malignant cell populations in cancer single-cell studies

在癌症单细胞研究中,过滤线粒体含量高的细胞会消耗掉具有活性的、代谢改变的恶性细胞群。

Yates, Josephine; Kraft, Agnieszka; Boeva, Valentina

SurvBoard: standardized benchmarking for multi-omics cancer survival models

SurvBoard:多组学癌症生存模型的标准化基准测试

Wissel, David; Janakarajan, Nikita; Grover, Aayush; Toniato, Enrico; Martínez, Maria Rodríguez; Boeva, Valentina