An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
How-To Geek on MSN
Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Most data tools force you to choose: fast or real-time. With Deephaven's revolutionary live dataframes, you get both. Process streaming data at millisecond speeds while your AI assistant helps you ...
Abstract: Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest ...
Pyrcz, M.J., Jo. H., Kupenko, A., Liu, W., Gigliotti, A.E., Salomaki, T., and Santos, J., 2021, GeostatsPy Python Package: Open-source Spatial Data Analytics and ...
Abstract: Due to the random behavior of conductors in machines with random windings, it is difficult to predict and calculate the Alternating Current (AC) copper loss. This paper proposes a practical ...
Sometimes plunging in headfirst and barehanded is the most efficient way to nab the lizard, says Mike Kimmel, who goes by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results