A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil [0.03%]
大流行的快照：社会隔离与巴西COVID-19动态的相互作用
Cláudia P Ferreira,Diego Marcondes,Mariana P Melo et al.
Cláudia P Ferreira et al.
In response to the coronavirus pandemic, governments implemented social distancing, attempting to block the virus spread within territories. While it is well accepted that social isolation plays a role in epidemic control, the precise conne...
Jeremy G Frey
Jeremy G Frey
Even when we all agree to make data usefully available with our publications, the problem remains of how to do this in a reasonable and sensible manner. Just what do we need to do? I suggest a change of perspective: what would you wish othe...
Afro Algorithms: Imagining new possibilities for race, technology, and the future through animated storytelling [0.03%]
“算法与未来非洲”：通过动画故事讲述构想种族、技术及未来的全新可能性
Anatola Araba Pabst
Anatola Araba Pabst
Enter the world of Afro Algorithms, a 3D-animated short film created by multimedia artist and filmmaker Anatola Araba Pabst. The film explores Afrocentric visions for the future while advocating for a new standard of leadership, the importa...
Jorge Montalvo Arvizu,Lachlan R Mason,John Moriarty
Jorge Montalvo Arvizu
The RangL project encourages the wider uptake of reinforcement learning by supporting a cloud-native platform that hosts industrially focused sequential decision problems. In this opinion piece, members of the RangL team make the case for t...
Preview of "Interpretable systems biomarkers predict response to immune-checkpoint inhibitors" [0.03%]
“可解释系统生物标志物预测免疫检查点抑制剂的反应”的亮点预告
Justin Guinney
Justin Guinney
Lapuente-Santana et al. (2021) developed Estimate Systems Immune Response (EaSIeR), a method for assessing the immune response to cancer using systems biology traits. ...
Predicting drug approvals: The Novartis data science and artificial intelligence challenge [0.03%]
药物审批预测：诺华数据科学与人工智能挑战赛
Kien Wei Siah,Nicholas W Kelley,Steffen Ballerstedt et al.
Kien Wei Siah et al.
We describe a novel collaboration between academia and industry, an in-house data science and artificial intelligence challenge held by Novartis to develop machine-learning models for predicting drug-development outcomes, building upon rese...
EmptyNN: A neural network based on positive and unlabeled learning to remove cell-free droplets and recover lost cells in scRNA-seq data [0.03%]
一种基于阳性样本和未标注样本学习的神经网络方法消除scRNA-seq中的游离核 droplet并恢复丢失的真实细胞
Fangfang Yan,Zhongming Zhao,Lukas M Simon
Fangfang Yan
Droplet-based single-cell RNA sequencing (scRNA-seq) has significantly increased the number of cells profiled per experiment and revolutionized the study of individual transcriptomes. However, to maximize the biological signal, robust compu...
Bias-variance decomposition of absolute errors for diagnosing regression models of continuous data [0.03%]
连续数据回归模型的偏差-方差分解诊断方法研究——绝对误差情形下的分析
Jing Gao
Jing Gao
Bias-variance decomposition (BVD) is a powerful tool for understanding and improving data-driven models. It reveals sources of estimation errors. Existing literature has defined BVD for squared error but not absolute error, while absolute e...
Did chatbots miss their "Apollo Moment"? Potential, gaps, and lessons from using collaboration assistants during COVID-19 [0.03%]
新冠疫情下聊天机器人错失了他们的“阿波罗时刻”吗？合作助手的潜力、差距与经验教训
Biplav Srivastava
Biplav Srivastava
Artificial intelligence (AI) technologies have long been positioned as a tool to provide crucial data-driven decision support to people. In this survey paper, I look at how collaboration assistants (chatbots for short), a type of AI that al...
HeTDR: Drug repositioning based on heterogeneous networks and text mining [0.03%]
基于异构网络和文本挖掘的HetDTR：药物再定位方法
Shuting Jin,Zhangming Niu,Changzhi Jiang et al.
Shuting Jin et al.
Using existing knowledge to carry out drug-disease associations prediction is a vital method for drug repositioning. However, effectively fusing the biomedical text and biological network information is one of the great challenges for most ...