Results 11 to 20 of about 390,322 (108)
BlenX-based compositional modeling of complex reaction mechanisms [PDF]
Molecular interactions are wired in a fascinating way resulting in complex behavior of biological systems. Theoretical modeling provides a useful framework for understanding the dynamics and the function of such networks. The complexity of the biological
Judit Zámborszky, Corrado Priami
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Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons [PDF]
The importance of 16S rRNA gene amplicon profiles for understanding the influence of microbes in a variety of environments coupled with the steep reduction in sequencing costs led to a surge of microbial sequencing projects.
Ilias Lagkouvardos+3 more
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A series of machine learning algorithms has been implemented and bundled together with several “utility” functions in a single package for the Julia programming language.
A. Lobianco
semanticscholar +1 more source
EzMAP: Easy Microbiome Analysis Platform
Background The rapid advances in next-generation sequencing technologies have revolutionized the microbiome research by greatly increasing our ability to understand diversity of microbes in a given sample.
Gnanendra Shanmugam+2 more
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Relating Natural Language Aptitude to Individual Differences in Learning Programming Languages
This experiment employed an individual differences approach to test the hypothesis that learning modern programming languages resembles second “natural” language learning in adulthood.
C. Prat+3 more
semanticscholar +1 more source
Frequency Analysis of Maximum Daily Rainfall and Determining the Best Appropriate Distribution Functions in the Bostan Watershed, Golestan Province [PDF]
Frequency analysis of daily rainfall or return period of rainfall and flooding events is very important considering the behavioral complexity in water resources management; because ignoring it can lead to urban destructive floods. In the present research,
S. yaghobi+5 more
doaj
Stan: A Probabilistic Programming Language.
Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants.
Bob Carpenter+9 more
semanticscholar +1 more source
Background Colon adenocarcinoma (COAD) is a gastrointestinal tumor with a high degree of malignancy. Its deterioration process is closely related to the tumor microenvironment, and transcription factors (TF) play a regulatory role in this process ...
Sihan Chen+8 more
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MRFy: Remote Homology Detection for Beta-Structural Proteins Using Markov Random Fields and Stochastic Search [PDF]
We introduce MRFy, a tool for protein remote homology detection that captures beta-strand dependencies in the Markov random field. Over a set of 11 SCOP beta-structural superfamilies, MRFy shows a 14 percent improvement in mean Area Under the Curve for ...
Noah M. Daniels+3 more
semanticscholar +2 more sources
Evaluation of Reliability Indicators of Multicomponent Equipment by Simulation Modeling
Mathematical and software for calculating reliability indicators of multicomponent equipment based on an event-based approach by simulation modeling has been created.
Y.M. Krakovsky+2 more
semanticscholar +1 more source