SW-Net: A novel few-shot learning approach for disease subtype prediction

IF 0.8 4区生物学 Q4 BIOLOGY

Biocell Pub Date : 2023-01-01 DOI:10.32604/biocell.2023.025865

Yu-Han Ji, Yong Liang, Ziyi Yang, Ning Ai

引用次数: 0

查看原文本刊更多论文

SW-Net:一种用于疾病亚型预测的新颖的少量学习方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Biocell 生物-生物学

CiteScore

1.50

自引率

16.70%

发文量

259

审稿时长

>12 weeks

期刊介绍： BIOCELL welcomes Research articles and Review papers on structure, function and macromolecular organization of cells and cell components, focusing on cellular dynamics, motility and differentiation, particularly if related to cellular biochemistry, molecular biology, immunology, neurobiology, and on the suborganismal and organismal aspects of Vertebrate Reproduction and Development, Invertebrate Biology and Plant Biology.