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MathWorks Inc custom-made functions written in
Custom Made Functions Written In, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/custom-made+function/pm37517573-87-2-8
Average 90 stars, based on 1 article reviews

custom-made functions written in - by Bioz Stars, 2026-11

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Article Title: Rule-based modulation of a sensorimotor transformation across cortical areas
Article Snippet: We used LDA (MATLAB ‘fitcdiscr’) to measure how well population activity from simultaneously recorded neurons could decode (1) task rules (respond-to-touch vs respond-to-light) prior to stimulus delivery (−100 to 0 ms from the stimulus onset), (2) stimulus types (tactile vs visual stimuli) prior to stimulus delivery, and (3) stimulus types after stimulus onset (0–100 ms).

Article Title: CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study
Article Snippet: The highest median, mean, and maximum kappa values were achieved, respectively, by ctree (median of 27.6%), lasso (mean of 15%), and AdaBoost (maximum of 53.7%). of the plots the kappa distribution (as a box plot) for each classifier over the datasets, sorted by decreasing median values. ctree and the four implementations (in MATLAB, Octave, Python, and R) of lda achieved the first positions. shows the confusion matrix for the best performance using clinical and imaging information (rows identify true class labels, named Biopsy, while columns identify predicted labels, named Computer).

Article Title: Quantitative Classification and Prediction of Starkrimson Pear Maturity by Near-Infrared Spectroscopy.
Article Snippet: The classification models were constructed using Classification Learner in MATLAB (2023b) and an LDA (discrimination type: linear; optimizer: Bayesian Optimization), NB (distribution name: kernel; kernel type: Gaussian; standardized data: true), KNN (number of neighbors: 3; distance metric: Minkowski (cubic); distance weight: inverse distance squared; standardized data: true), SVM (kernel function: linear; box constraint level: 0.5901; multiclass encoding: one-to-one; standardized data: true), or NN (number of neurons in hidden layers: 50; maximum number of iterations: 200; activation function: Sigmoid; regularization strength (lambda): 0.00030942; standardized data: true) algorithm.

Article Title: Hippocampal-Prefrontal θ Coupling Develops as Mice Become Proficient in Associative Odorant Discrimination Learning
Article Snippet: Decoding of contextual odorant identity from tPRP values was performed using LDA using MATLAB code as described by .

Article Title: Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension
Article Snippet: PCA and LDA were performed with MatLab (The Mathworks, Natick, MA).

Article Title: Pre-stimulus alpha activity modulates long-lasting unconscious feature integration.
Article Snippet: We implemented LDA with custom-made functions written in Matlab, based on the recommended settings for EEG data (Subasi and Gursoy, 2010; Grootswagers et al., 2017).

Article Title: Quantifying the Corneal Nerve Whorl Pattern.
Article Snippet: A MATLAB implementation38 of LDA was then used to obtain linear combinations of the whorl metrics that would best predict when a whorl belongs to one of the five qualitative labels (no whorl, poor, irregular, regular, Downloaded from tvst.arvojournals.org on 12/14/2024 and web).

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Article Title: Authentication of chaste honey adulterated with high fructose corn syrup by HS-SPME-GC-MS coupled with chemometrics
Article Snippet: .. The M/Z RT pairs data matrix of adulterated chaste honey at different proportions were analyzed by the LDA of Matlab 2019b software. ..

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