Yingji Xia,Xiqun Michael Chen,Sudan Sun
Yingji Xia
Modern intelligent engineering and management scenarios require advanced data utilization methodologies. Here, we propose and discuss data-knowledge co-driven innovations that could address emerging challenges, and we advocate for the adopt...
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare [0.03%]
公平性感知的可解释建模在医疗保健中值得信赖的机器学习中的应用
Mingxuan Liu,Yilin Ning,Yuhe Ke et al.
Mingxuan Liu et al.
The escalating integration of machine learning in high-stakes fields such as healthcare raises substantial concerns about model fairness. We propose an interpretable framework, fairness-aware interpretable modeling (FAIM), to improve model ...
VONet: A deep learning network for 3D reconstruction of organoid structures with a minimal number of confocal images [0.03%]
基于最少共聚焦图像的类器官结构三维重建深度学习网络VONet
Euijeong Song,Minsuh Kim,Siyoung Lee et al.
Euijeong Song et al.
Organoids and 3D imaging techniques are crucial for studying human tissue structure and function, but traditional 3D reconstruction methods are expensive and time consuming, relying on complete z stack confocal microscopy data. This paper i...
Type less, think more [0.03%]
少打点字，多想想
Andrew L Hufton,Alejandra Alvarado
Andrew L Hufton
Roberto De Filippo,Dietmar Schmitz
Roberto De Filippo
Serotonin (5-HT) is crucial for regulating brain functions such as mood, sleep, and cognition. This study presents a comprehensive transcriptomic analysis of 5-HT receptors (Htrs) across ≈4 million cells in the adult mouse brain using sing...
Multi-objective latent space optimization of generative molecular design models [0.03%]
生成式分子设计模型的多目标潜在空间优化
A N M Nafiz Abeer,Nathan M Urban,M Ryan Weil et al.
A N M Nafiz Abeer et al.
Molecular design based on generative models, such as variational autoencoders (VAEs), has become increasingly popular in recent years due to its efficiency for exploring high-dimensional molecular space to identify molecules with desired pr...
AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations [0.03%]
annoMate：通过自定义交互式可视化探索和注释集成分子数据
Claudia Chu,Conor Messer,Samantha Van Seters et al.
Claudia Chu et al.
Manual review is an integral part of any study. As the cost of data generation continues to decrease, the rapid rise in large-scale multi-omic studies calls for a modular, flexible framework to perform what is currently a tedious, error-pro...
Brent A Anders
Brent A Anders
There are new realities in society and the workplace that necessitate the evolution of student skills. AI now creates highly usable text, requiring students to shift their focus to different skills such as editing, AI literacy, and critical...
RummaGEO: Automatic mining of human and mouse gene sets from GEO [0.03%]
RummaGEO：从GEO中自动挖掘人类和小鼠基因集合
Giacomo B Marino,Daniel J B Clarke,Alexander Lachmann et al.
Giacomo B Marino et al.
The Gene Expression Omnibus (GEO) has millions of samples from thousands of studies. While users of GEO can search the metadata describing studies, there is a need for methods to search GEO at the data level. RummaGEO is a gene expression s...
Michael A Lones
Michael A Lones
Mistakes in machine learning practice are commonplace and can result in loss of confidence in the findings and products of machine learning. This tutorial outlines common mistakes that occur when using machine learning and what can be done ...