6 papers · ranked by Valyu relevance
Zhengyu Zhao, Yuanyuan Lu, Yijie Tong, Xin Chen + 1 more
Discriminative traits are important in biodiversity and macroevolution, but extracting and representing these features from huge natural history collections using traditional methods can be challenging and time-consuming. To fully utilize the collections and their associated metadata, it is urgent now to increase the…
Marc-Antoine Jacques, Maciej Dobrzyński, Paolo Armando Gagliardi, Raphael Sznitman + 1 more
Fluorescent biosensors routinely yield thousands of single-cell, heterogeneous, multi-dimensional signaling trajectories that are difficult to mine for relevant information. We present CODEX, an approach based on artificial neural networks to guide exploration of time-series datasets and to identify motifs in dynamic…
Bohdan B. Khomtchouk, Kasra A. Vand, Thor Wahlestedt, Kelly Khomtchouk + 2 more
We propose a search engine and file retrieval system for all bioinformatics databases worldwide. PubData searches biomedical data in a user-friendly fashion similar to how PubMed searches biomedical literature. PubData is built on novel network programming, natural language processing, and artificial intelligence…
Patrick Wu, Aliya Gifford, Xiangrui Meng, Xue Li + 7 more
Many studies of Electronic Health Record (EHR) data utilize custom-developed aggregations of billing codes enabling clinical and genetic research, including phenome-wide association studies (PheWAS). One such grouping is the phecode system, originally developed for PheWAS. Phecodes were built upon the International…
Arturo Lopez Pineda, Oliver J. Bear, Guhan R. Venkataraman, Ashley M. Zehnder + 4 more
Unstructured clinical narratives are continuously being recorded as part of delivery of care in electronic health records, and dedicated tagging staff spend considerable effort manually assigning clinical codes for billing purposes; despite these efforts, label availability and accuracy are both suboptimal. In this…
Alexander M. Waldrop, John B. Cheadle, Kira Bradford, Alexander Preiss + 14 more
As the number of public data resources continues to proliferate, identifying relevant datasets across heterogenous repositories is becoming critical to answering scientific questions. To help researchers navigate this data landscape, we developed Dug: a semantic search tool for biomedical datasets utilizing…