Topic · Artificial Intelligence · Computer Science
OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.
8 papers
Zinan Lu, Jonathan Anns, Yishan Mai…·Adam Claridge‐Chang
The paper introduces DABEST 2.0, an estimation framework for multi-group comparisons in experimental science, focusing on effect-size quantification instead of null-hypothesis significance testing.
Chaoming Wang, Sichao He, Shouwei Luo…·Si Wu
BrainUnit integrates physical units into AI libraries to improve scientific computing accuracy and reliability without performance loss.
Gregor Mönke, Tim Schäfer, Mohsen Parto-Dezfouli…·Pascal Fries
SyNCoPy is a Python package for analyzing large-scale electrophysiological data, offering time, frequency, and connectivity analyses with parallel processing and interoperability.
Guillaume D Viejo, Daniel Levenstein, Sofía Skromne Carrasco…·Adrien Peyrache
Pynapple provides an open-source framework for analyzing time-resolved data in systems neuroscience, offering easy-to-use objects and methods for data manipulation and analysis.
Laura Guarina, Johnson Tran Le, Theanne N. Griffith…·Robert H. Cudmore
SanPy is a Python-based open-source pipeline for analyzing whole-cell current-clamp recordings, providing tools for parameter extraction, visualization, and quality control.
Knut Dagestad Rand, Ivar Grytten, Milena Pavlović…·Geir Kjetil Sandve
BioNumPy enables efficient array programming on biological data using Python, outperforming vanilla Python and other packages while matching C/C++ speeds for common bioinformatics tasks.
Frank Hidalgo, Sage Templeton, Che Olavarria Gallegos, Joanne Wang
The paper introduces a Python package for creating publication-quality figures from site-saturation mutagenesis datasets with minimal programming experience.
Joshua P. Chu, Caleb T. Kemere
GhostiPy provides efficient signal processing and spectral analysis tools for large-scale neural data, outperforming commercial software in speed and memory usage.