منابع مشابه
Identification of BKCa channel openers by molecular field alignment and patent data-driven analysis
In this work, we present the first comprehensive molecular field analysis of patent structures on how the chemical structure of drugs impacts the biological binding. This task was formulated as searching for drug structures to reveal shared effects of substitutions across a common scaffold and the chemical features that may be responsible. We used the SureChEMBL patent database, which prov...
متن کاملData-Driven Incentive Alignment in Capitation Schemes
This paper explores whether Big Data, taking the form of extensive but high dimensional records, can reduce the cost of adverse selection in government-run capitation schemes. We argue that using data to improve the ex ante precision of capitation regressions is unlikely to be helpful. Even if types become essentially observable, the high dimensionality of covariates makes it infeasible to prec...
متن کاملSemi-Data-Driven Network Coarsening
Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China Quantum Computation & Intelligent Systems Centre, University of Technology Sydney, Australia MathWorks, Beijing, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China {gaoli, huyue}@iie.ac.cn, [email protected], hong.yang@ma...
متن کاملFuse: multiple network alignment via data fusion
MOTIVATION Discovering patterns in networks of protein-protein interactions (PPIs) is a central problem in systems biology. Alignments between these networks aid functional understanding as they uncover important information, such as evolutionary conserved pathways, protein complexes and functional orthologs. However, the complexity of the multiple network alignment problem grows exponentially ...
متن کاملAn Efficient Data Driven Algorithm for Multi-Sensor Alignment
This paper describes how model-specific constraints and domain specific knowledge can be utilized to develop efficient sampling based algorithms for robust model estimation in the presence of outliers. As a special case, a robust algorithm for homography estimation is proposed that exploits the invariance of collinearity under homography to improve efficiency in noisy scenarios. Unlike most exi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2020
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0234978