Abstract Discovering a lower-dimensional embedding of single-cell data can improve downstream analysis.The embedding should encapsulate both the high-level features and low-level variations.While existing generative models attempt to learn such low-dimensional representations, they have limitations.Here, we introduce scVAEDer, a scalable deep-learn
Chunyan Yang, Ce Wang, Zhiwei Rong, Zhenyi Xu, Kui Deng, Weiwei Zhao, Lei Cao, Yaxin Lu, Humara Adnan, Kang Li, Yan Hou Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People’s Republic of ChinaCorrespondence: Kang Li Tel +86-451-87502939 Fax +86-451-87202885Email likang@ems.hrbmu.edu.cnY
Abstract Background Intra-thoracic desmoid tumours with mediastinal invasion are very rare.Although rare they have to be taken into account in the differential diagnosis of a thoracic mass WHITE WILLOW and therapeutic options have to be weighted since surgical treatment may require wide excision.Case presentation A 48-year-old male diabetic, dyslip
Since the 19th century, concrete has been a fundamental construction material.It is the most popular manmade material in the Jewelry Dish Couple Card world because of its more reliable workability, greater durability, and lower cost compared with other construction materials.However, because of its durability, demolishing or renovating old structur
This study investigates hydromagnetic fourth-grade reactive diffusion, exothermic temperature distribution of the fluid flow and ignition criticality in a channel.This is important to improve the optimal efficiency of engineering devices and industrial machines.The fully exothermic combustible reaction occurs in a Couette medium with molecular diff