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

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function.

机器学习发现,常规血液检查可以准确预测污染导致的认知功能下降

Johnson Hamish, Longden James, Cameron Gary, Waiter Gordon D, Waldron Fergal M, Gregory Jenna M, Spence Holly

NODAL/TGFβ signalling mediates the self-sustained stemness induced by PIK3CAH1047R homozygosity in pluripotent stem cells

NODAL/TGFβ信号通路介导PIK3CAH1047R纯合性在多能干细胞中诱导的自我维持干性

Madsen, Ralitsa R; Longden, James; Knox, Rachel G; Robin, Xavier; Völlmy, Franziska; Macleod, Kenneth G; Moniz, Larissa S; Carragher, Neil O; Linding, Rune; Vanhaesebroeck, Bart; Semple, Robert K

Deep Hidden Physics Modeling of Cell Signaling Networks

细胞信号网络的深层隐物理建模

Seeger, Martin; Longden, James; Klipp, Edda; Linding, Rune

Bowhead: Bayesian modelling of cell velocity during concerted cell migration

Bowhead:协同细胞迁移过程中细胞速度的贝叶斯建模

Engel, Mathias; Longden, James; Ferkinghoff-Borg, Jesper; Robin, Xavier; Saginc, Gaye; Linding, Rune

Kinome-wide decoding of network-attacking mutations rewiring cancer signaling

全激酶组解码网络攻击突变重塑癌症信号通路

Creixell, Pau; Schoof, Erwin M; Simpson, Craig D; Longden, James; Miller, Chad J; Lou, Hua Jane; Perryman, Lara; Cox, Thomas R; Zivanovic, Nevena; Palmeri, Antonio; Wesolowska-Andersen, Agata; Helmer-Citterich, Manuela; Ferkinghoff-Borg, Jesper; Itamochi, Hiroaki; Bodenmiller, Bernd; Erler, Janine T; Turk, Benjamin E; Linding, Rune