Paul Trauttmansdorff,Kim M Hajek
Paul Trauttmansdorff
Sensitive detection of synthetic response to cancer immunotherapy driven by gene paralog pairs [0.03%]
癌症免疫治疗合成反应的基因副产物对敏感检测驱动
Chuanpeng Dong,Feifei Zhang,Emily He et al.
Chuanpeng Dong et al.
Immunotherapies, including checkpoint blockade and chimeric antigen receptor T cell (CAR-T) therapy, have revolutionized cancer treatment; however, many patients remain unresponsive to these treatments or relapse following treatment. CRISPR...
Alejandra Alvarado,Wanying Wang,Andrew L Hufton
Alejandra Alvarado
GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals [0.03%]
基于脑电波信号利用可学习的小波和黎曼几何进行生物标志物探索的轻量级架构
Joseph Paillard,Jörg F Hipp,Denis A Engemann
Joseph Paillard
Spectral analysis using wavelets is widely used for identifying biomarkers in EEG signals. Recently, Riemannian geometry has provided an effective mathematical framework for predicting biomedical outcomes from multichannel electroencephalog...
Jon Rueda,Txetxu Ausín,Mark Coeckelbergh et al.
Jon Rueda et al.
The concept of dignity is proliferating in ethical, legal, and policy discussions of AI, yet dignity is an elusive concept with multiple philosophical interpretations. The authors argue that the unspecific and uncritical employment of the n...
Ethical-Lens: Curbing malicious usages of open-source text-to-image models [0.03%]
伦理视角：遏制开源文本到图像模型的恶意使用
Yuzhu Cai,Sheng Yin,Yuxi Wei et al.
Yuzhu Cai et al.
The burgeoning landscape of text-to-image models, exemplified by innovations such as Midjourney and DALL·E 3, has revolutionized content creation across diverse sectors. However, these advances bring forth critical ethical concerns, partic...
Strategies to include prior knowledge in omics analysis with deep neural networks [0.03%]
基于深度神经网络的组学分析中的先验知识纳入策略
Kisan Thapa,Meric Kinali,Shichao Pei et al.
Kisan Thapa et al.
High-throughput molecular profiling technologies have revolutionized molecular biology research in the past decades. One important use of molecular data is to make predictions of phenotypes and other features of the organisms using machine ...
Navigating COP16's digital sequence information outcomes: What researchers need to do in practice [0.03%]
Cop16数字序列信息成果的落实：研究人员需要做什么
Melania Muñoz-García;DSI Scientific Network;Amber Hartman Scholz
Melania Muñoz-García;DSI Scientific Network;Amber Hartman Scholz
The UN Convention on Biological Diversity adopted new rules for sharing benefits from publicly available genetic sequence data, also known as digital sequence information (DSI). In this Opinion, the authors describe the key elements researc...
ETHOS.REFLOW: An open-source workflow for reproducible renewable energy potential assessments [0.03%]
ETHOS.REFLOW：用于可再生潜能评估的开源工作流
Tristan Pelser,Jann Michael Weinand,Patrick Kuckertz et al.
Tristan Pelser et al.
Accurate renewable energy resource assessments are necessary for energy system planning to meet climate goals, yet inconsistencies in methods and data can produce significant differences in results. This paper introduces ETHOS.REFLOW, a Pyt...
SplitFusion enables ultrasensitive gene fusion detection and reveals fusion variant-associated tumor heterogeneity [0.03%]
SplitFusion实现超灵敏的基因融合检测并揭示了与融合变异相关的肿瘤异质性
Weiwei Bian,Baifeng Zhang,Zhengbo Song et al.
Weiwei Bian et al.
Gene fusions are common cancer drivers and therapeutic targets, but clinical-grade open-source bioinformatic tools are lacking. Here, we introduce a fusion detection method named SplitFusion, which is fast by leveraging Burrows-Wheeler Alig...