A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...
Pavan Subramani started doing molecular dynamics simulations for computational drug discovery alongside his high school coursework, sparking an interest in a STEM career.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...
Job Description We are seeking a passionate and innovative Genomic Data Scientist to join our Bioinformatics Research ...
Abstract: Cloud storage services need cost-effective, independent, and scalable functionality to manage data. Cloud repositories provide an opportunity to manage and access essential data conveniently ...
Abstract: Tools that standardize and automate experimental data collection are needed for greater confidence in research results. The National Synchrotron Light Source-II (NSLS-II) has generated an ...
Cookiecutter Data Science (CCDS) is a tool for setting up a data science project template that incorporates best practices. To learn more about CCDS's philosophy, visit the project homepage. If you ...
Update: Tigramite now has a new CausalEffects class that allows to estimate (conditional) causal effects and mediation based on assuming a causal graph. Have a look at the tutorial. Further, Tigramite ...
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