data <- read.table(files[i], header = TRUE, skip = 1) lastColumn <- data[, ncol(data)] mergedData <- cbind(mergedData, lastColumn) } #mergedata这一步是将之前提取的column1和lastColumn合并为一个新的数据框,赋值给mergedData变量。.;files <- c(file2, file3, file4):创建一个名为fil...
Our database is primarily an electronic-structure database with query tools that allow searches of compounds with desired crystal and/or band structures. In addition, the database contains DFT simulated data with a variety of query capabilities. The database management system (DMS) is built on M...
High throughput data ingestion logger to Fluentd and Fluent Bit (and AWS S3 and Treasure Data.) This document is for version 2. If you're looking for a document for version 1, seethis. Ingestion to Fluentd Features Better performance (4 times faster than fluent-logger-java) ...
provided that the appropriate level of complexity is determined. Models that are too simple are not able to adequately account for the factors that influence dielectric breakdown strength, and models that are too complex overfit the data and have relatively poor predictive ability. The...
High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of t
RNA Framework is a modular toolkit developed to deal with RNA structure probing and post-transcriptional modifications mapping high-throughput data. Its main features are: Automatic reference transcriptome creation Automatic reads preprocessing (adapter clipping and trimming) and mapping Scoring and data nor...
We develop data structures and compression algorithms for HTS data. A processing stage maps short sequences to a reference genome or a large table of sequences. Then the integers representing the short sequence absolute or relative addresses, their length, and the substitutions they may contain are...
For the purpose of creating a database of electronic structures of all the known inorganic compounds, we have developed a computational framework based on high-throughput ab initio calculations (AFLOW) and an online repository (www.aflowlib.org). In this article, we report the first step of th...
Specifically, the main objectives of this study were to: (1) assemble AOPs linking AHR activation to lung damages using toxicity pathways as molecular KEs; (2) validate the AOP network using HT data combined with machine learning models; (3) quantitatively describe the AOP network using HC ...
Data Mining and Computational Modeling of High-Throughput Screening Datasets Authors: Sean Ekins2, Alex M. Clark1 , 3, Krishna Dole1, Kellan Gregory1 ...Barry A. Bunin1 Sean Ekins2, Alex M. Clark1 , 3, Krishna Dole1, Kellan Gregory1, ...