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On Optimizing Miniscope Data Analysis with Simulated Data: A Study of Parameter Optimization in the Minian Analysis Pipeline
In vivo calcium imaging is widely used in neuroscience to assess the activity of neuronal ensembles. The advent of the single-photon miniature...
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Extraction and Analysis of Data
The extraction of data from selected studies followed by proper analysis is one of the important steps in meta-analysis. The data should be extracted...
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Artificial intelligence for omics data analysis
Recent technological advancements have vastly improved access to high-throughput biological instrumentation, sparking an unparalleled surge in omics...
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Data Analysis: Descriptive and Analytical Statistics
The analysis of the raw data is very important to make meaningful interpretations while also testing the research hypothesis. The process of data...
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Analysis of Spatial Molecular Data
Digital analysis of pathology whole-slide images has been recently gaining interest in the context of cancer diagnosis and treatment. In particular,...
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SRT-Server: powering the analysis of spatial transcriptomic data
BackgroundSpatial resolved transcriptomics (SRT) encompasses a rapidly develo** set of technologies that enable the measurement of gene expression...
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Introduction to Analysis of Human Genetic Data
Biological data present a multitude of challenges in terms of presentation and analysis. The most interesting feature is that data may come from...
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Extended nonnegative matrix factorization for dynamic functional connectivity analysis of fMRI data
Dynamic functional connectivity (DFC) analysis using functional magnetic resonance imaging (fMRI) technology has attracted increasing attention in...
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Integrative analysis of multi-omics data for liquid biopsy
The innovation of liquid biopsy holds great potential to revolutionise cancer management through early diagnosis and timely treatment of cancer....
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MHCtools 1.5: Analysis of MHC Sequencing Data in R
The genes of the major histocompatibility complex (MHC) play a vital role in the vertebrate immune system and have attracted considerable interest in...
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Online citizen science with the Zooniverse for analysis of biological volumetric data
AbstractPublic participation in research, also known as citizen science, is being increasingly adopted for the analysis of biological volumetric...
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Navigating bottlenecks and trade-offs in genomic data analysis
Genome sequencing and analysis allow researchers to decode the functional information hidden in DNA sequences as well as to study cell to cell...
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Analysis of Single Gene Expression Data
By now, we have some idea on how we should look at the data sets at the very outset. In order to get some feel about the data we need to explore it...
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Software and Resources for Experiments and Data Analysis
Data from magnetoencephalography (MEG) and electroencephalography (EEG) is extremely rich and multifaceted. For example, in a standard MEG recording...
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Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
ObjectiveIn this work we intend to design a system to classify human arousal at five levels (i.e., five stress levels) using four peripheral bio...
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Metabolomics analysis of peony root using NMR spectroscopy and impact of the preprocessing method for NMR data in multivariate analysis
Peony root is an important herbal drug used as an antispasmodic analgesic. To evaluate peony roots with different botanical origins, producing...
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Evaluation of prompt engineering strategies for pharmacokinetic data analysis with the ChatGPT large language model
To systematically assess the ChatGPT large language model on diverse tasks relevant to pharmacokinetic data analysis. ChatGPT was evaluated with...
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Advances in spatial transcriptomics and related data analysis strategies
Spatial transcriptomics technologies developed in recent years can provide various information including tissue heterogeneity, which is fundamental...
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State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis
Electroencephalogram (EEG) microstate analysis entails finding dynamics of quasi-stable and generally recurrent discrete states in multichannel EEG...
