Results 51 to 60 of about 223,482 (315)
Machine Learning using Stata/Python [PDF]
arXiv, 2021 We present two related Stata modules, r_ml_stata and c_ml_stata, for fitting popular Machine Learning (ML) methods both in regression and classification settings. Using the recent Stata/Python integration platform (sfi) of Stata 16, these commands provide hyper-parameters' optimal tuning via K-fold cross-validation using greed search. More specifically,
arxiv
Molecular Oncology, EarlyView.CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar +4 more
wiley +1 more source
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
Frontiers in Neuroinformatics, 2013 The diffusion model is a commonly used tool to infer latent psychological processes underlying decision making, and to link them to neural mechanisms based on reaction times.
Thomas V Wiecki +2 more
doaj +1 more source
Rule-based semi-automated tools for mapping seabed morphology from bathymetry data
Frontiers in Marine Science, 2023 Seabed morphology maps and data are critical for knowledge-building and best practice management of marine environments. To facilitate objective and repeatable production of these maps, we have developed a number of semi-automated, rule-based GIS tools ...
Zhi Huang +6 more
doaj +1 more source
Using Python for Model Inference in Deep Learning [PDF]
arXiv, 2021 Python has become the de-facto language for training deep neural networks, coupling a large suite of scientific computing libraries with efficient libraries for tensor computation such as PyTorch or TensorFlow. However, when models are used for inference they are typically extracted from Python as TensorFlow graphs or TorchScript programs in order to ...
arxiv
Molecular Oncology, EarlyView.Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley +1 more source
Journal of Open Research Software, 2019 This paper describes the functioning and development of HeartPy: a heart rate analysis toolkit designed for photoplethysmogram (PPG) data. Most openly available algorithms focus on electrocardiogram (ECG) data, which has very different signal properties ...
Paul van Gent +3 more
doaj +1 more source
Python Type Hints are Turing Complete [PDF]
arXiv, 2022 Grigore showed that Java generics are Turing complete by describing a reduction from Turing machines to Java subtyping. We apply Grigore's algorithm to Python type hints and deduce that they are Turing complete. In addition, we present an alternative reduction in which the Turing machines are simulated in real time, resulting in significantly lower ...
arxiv
Journal of Parallel and Distributed Computing, 2005 MPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python programming language and allows any Python program to exploit multiple processors. This package is constructed on top of the MPI-1 specification and defines an object-oriented interface which closely follows MPI-2 C++bindings.
Dalcin, Lisandro Daniel +2 more
openaire +3 more sources