Joonas Jälkö,Eemil Lagerspetz,Jari Haukka et al.
Joonas Jälkö et al.
Differential privacy allows quantifying privacy loss resulting from accession of sensitive personal data. Repeated accesses to underlying data incur increasing loss. Releasing data as privacy-preserving synthetic data would avoid this limit...
Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action [0.03%]
基于网络的COVID-19药物组合应用及作用机制整合资源调查集成资源以应对基于网络的COVID-19药物再定位及其作用机制
A K M Azad,Shadma Fatima,Alexander Capraro et al.
A K M Azad et al.
An effective monotherapy to target the complex and multifactorial pathology of SARS-CoV-2 infection poses a challenge to drug repositioning, which can be improved by combination therapy. We developed an online network pharmacology-based dru...
Tessa Darbyshire,Sahar Farajnia
Tessa Darbyshire
Catherine Gater
Catherine Gater
The homeschooling timetable blanket is a visualization of the 8 weeks that I spent supporting my 13-year-old son with home learning during January and February 2021. Each multi-colored crochet "granny" square represents 1 day of schooling. ...
Ixchel M Faniel
Ixchel M Faniel
Drawing from a study of archaeological excavation teams, four collective curation opportunities are proposed to identify and resolve differences in data and documentation practices that arise in team-based research. To create more integrate...
Joseph Geraci
Joseph Geraci
Machine learning has become a standard tool for medical researchers attempting to model disease in various ways, including building models to predict response to medications, classifying disease subtypes, and discovering new therapies. In t...
Szilvia Barsi,Bence Szalai
Szilvia Barsi
Babur et al. (2021) developed the CausalPath tool to infer causal signaling interactions in high-throughput proteomics data that may foster mechanical understanding from large-scale biological datasets. ...
ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles [0.03%]
ACSNI：一种利用基因表达谱预测组织特异性通路组成的无监督机器学习工具
Chinedu Anthony Anene,Faraz Khan,Findlay Bewicke-Copley et al.
Chinedu Anthony Anene et al.
Determining the tissue- and disease-specific circuit of biological pathways remains a fundamental goal of molecular biology. Many components of these biological pathways still remain unknown, hindering the full and accurate characterization...
Fredric Narcross
Fredric Narcross
Three dissimilar methodologies in the field of artificial intelligence (AI) appear to be following a common path toward biological authenticity. This trend could be expedited by using a common tool, artificial nervous systems (ANS), for rec...
How can big data shape the field of non-religion studies? And why does it matter? [0.03%]
大数据如何塑造非宗教研究领域？及其重要性何在？
Dominik Balazka,Dick Houtman,Bruno Lepri
Dominik Balazka
The shift of attention from the decline of organized religion to the rise of post-Christian spiritualities, anti-religious positions, secularity, and religious indifference has coincided with the deconstruction of the binary distinction bet...