Microbiome-metabolome studies of the human gut have been gaining popularity in recent years, mostly due to accumulating evidence of the interplay between gut microbes, metabolites, and host health. Statistical
Bayesian Markov Model motif discovery tool version 2 - An expectation maximization algorithm for the de novo discovery of enriched motifs as modelled by higher-order Markov models. bioinformaticschip-seqmotif-discoverymotif-analysisngs-analysis
An extensive documentation introducing Python language, along with exhaustive usage instruction forOpenAnalysisis available athttps://openanalysis.readthedocs.io/. As this work was originally designed for the Algorithm Lab at CS&E department, SJCE, Mysuru (and cancelled for unfortunate, ill-defined re...
Recent advances in single-cell technologies have enabled high-throughput molecular profiling of cells across modalities and locations. Single-cell transcriptomics data can now be complemented by chromatin accessibility, surface protein expression, adapti
deep-learning algorithm for c-Fos activity mapping. DELiVR outperforms threshold-based c-Fos segmentation To comprehensively analyze neuronal activity across the entire brain, DELiVR detects and aligns the cells to the Allen Brain Atlas. DELiVR then visualizes the segmentation in both image and atlas...
spatial topology-preserving software for cloud/cloud–shadow detection in multi-sensor single-date earth observation multi-spectral imagery – Part 2: Outcome and process requirements specification, information/ knowledge representation, system design, algorithm, implementation and preliminary experimental ...
which requires knowledge of sentiment words. Extra aspects can be found if more sentiment words that serve as adjectives can be identified. Qiu et al. (2009) propose a syntax-based algorithm that identifies aspects as well as sentiment words that works both ways. The algorithm identifies sentimen...
(e.g., selection of background FI subtraction settings) can be made through the user interface. However, making extensive changes to the default transform script (e.g., substituting a new curve fit algorithm) requires some knowledge of the R programming language. At the same time, transform ...
the variation in marketing interests along time, communication, linguistic aspect or economy. In this domain, the Dynamic Weighted Majority Concept Drift Detection (DWM-CCD) algorithm (Nosrati and Pour2011) was able to deal with sudden and gradual concept drift, but was unsuitable to tackle more ...
and next install from the top level package directory usingpip: $ cd igakit $ python -m pip install . Acknowledgments This project was partially supported by the Advanced Algorithm and Numerical Simulations Laboratory (AANSLab), Division of Computer, Electrical, and Mathematical Sciences & Engineerin...