1. Iliski, a software for robust calculation of transfer functions
- Author
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William D. Haselden, Patrick J. Drew, Julie Dang, Davide Boido, Ali Kemal Aydin, Serge Charpak, Institut de la Vision, Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Pennsylvania State University (Penn State), Penn State System, Institut National de la Santé et de la Recherche Médicale (INSERM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Gestionnaire, HAL Sorbonne Université 5
- Subjects
0301 basic medicine ,Physiology ,Computer science ,computer.software_genre ,Transfer function ,Simulated annealing ,Workflow ,Mathematical and Statistical Techniques ,0302 clinical medicine ,Software ,Transfer functions ,Medicine and Health Sciences ,Computer software ,Biology (General) ,MATLAB ,computer.programming_language ,0303 health sciences ,Ecology ,Applied Mathematics ,Simulation and Modeling ,Software Engineering ,Blood flow ,Body Fluids ,Blood ,Computational Theory and Mathematics ,Modeling and Simulation ,Physical Sciences ,Engineering and Technology ,A priori and a posteriori ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Deconvolution ,Data mining ,Anatomy ,Algorithms ,Research Article ,Optimization ,Signal processing ,Computer and Information Sciences ,Imaging Techniques ,QH301-705.5 ,Computation ,Neuroimaging ,Research and Analysis Methods ,Cellular and Molecular Neuroscience ,03 medical and health sciences ,Genetics ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,business.industry ,Biology and Life Sciences ,Computational Biology ,030104 developmental biology ,business ,Mathematical Functions ,computer ,Mathematics ,030217 neurology & neurosurgery ,Neuroscience - Abstract
Understanding the relationships between biological processes is paramount to unravel pathophysiological mechanisms. These relationships can be modeled with Transfer Functions (TFs), with no need of a priori hypotheses as to the shape of the transfer function. Here we present Iliski, a software dedicated to TFs computation between two signals. It includes different pre-treatment routines and TF computation processes: deconvolution, deterministic and non-deterministic optimization algorithms that are adapted to disparate datasets. We apply Iliski to data on neurovascular coupling, an ensemble of cellular mechanisms that link neuronal activity to local changes of blood flow, highlighting the software benefits and caveats in the computation and evaluation of TFs. We also propose a workflow that will help users to choose the best computation according to the dataset. Iliski is available under the open-source license CC BY 4.0 on GitHub (https://github.com/alike-aydin/Iliski) and can be used on the most common operating systems, either within the MATLAB environment, or as a standalone application., Author summary Iliski is a software helping the user to find the relationship between two sets of data, namely transfer functions. Although transfer functions are widely used in many scientific fields to link two signals, their computation can be tricky due to data features such as multisource noise, or to specific shape requirements imposed by the nature of the signals, e.g. in biological data. Iliski offers a user-friendly graphical interface to ease the computation of transfer functions for both experienced and users with no coding skills. It proposes several signal pre-processing methods and allows rapid testing of different computing approaches, either based on deconvolution or on optimization of multi-parametric functions. This article, combined with a User Manual, provides a detailed description of Iliski functionalities and a thorough description of the advantages and drawbacks of each computing method using experimental biological data. In the era of Big Data, scientists strive to find new models for patho-physiological mechanisms, and Iliski fulfils the requirements of rigorous, flexible, and fast data driven hypothesis testing.
- Published
- 2021
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