Results 221 to 230 of about 274,745 (274)

Homologous expression and purification of human HAX‐1 for structural studies

FEBS Open Bio, EarlyView.
This research protocol provides detailed instructions for cloning, expressing, and purifying large quantities of the intrinsically disordered human HAX‐1 protein, N‐terminally fused to a cleavable superfolder GFP, from mammalian cells. HAX‐1 is predicted to undergo posttranslational modifications and to interact with membranes, various cellular ...
Mariana Grieben
wiley   +1 more source

Curvilinear Sub-Resolution Assist Feature Placement Through a Data-Driven U-Net Model. [PDF]

Micromachines (Basel)
Liu J, He W, Ding W, Wang Y, Shen Y.
europepmc   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

HU-FlowNet: A Method for Trajectory Detection in Dense Granular Flows Integrating the Hungarian Algorithm, U‑Net, and UnLiteFlowNet. [PDF]

ACS Omega
Xu Y, Fu L, Hu Z, Duan J.
europepmc   +1 more source

Segmentation of gastroesophageal reflux events using a semi-U-Net architecture with 1D/2D CNNs. [PDF]

Sci Rep
Kenari AR, Rabbani H.
europepmc   +1 more source

Revisiting model scaling with a U-net benchmark for 3D medical image segmentation. [PDF]

Sci Rep
Huang Z, Ye J, Wang H, Deng Z, Yang Z, Su Y, Liu J, Li T, Gu Y, Zhang S, Qiao Y, Gu L, He J.   +12 more
europepmc   +1 more source

An effective image despeckling and reconstruction approach using U-Net based model and comparative analysis. [PDF]

Sci Rep
Gokmen MS, Arslan B, Bumgardner C, Imran A.   +3 more
europepmc   +1 more source

Automated Classification of Lymphoma Subtypes From Histopathological Images Using a U-Net Deep Learning Model: Comparative Evaluation Study.

JMIR Med Inform
Zhao J, Wen X, Ma L, Su L.
europepmc   +1 more source