ChIP-seq Data Processing and Relative and Quantitative Signal Normalization for Saccharomyces cerevisiae by Kris Alavattam, Bradley Dickson, Rina Hirano, Rachel Dell, Toshio Tsukiyama

“…Designed for researchers with minimal bioinformatics experience, it includes practical overviews and refers to scripting examples for key tasks, such as configuring computational environments, trimming and aligning reads, processing alignments, and visualizing signals. This protocol employs the sans-spike-in method for quantitative ChIP-seq (siQ-ChIP) and normalized coverage for absolute and relative comparisons of ChIP-seq data, respectively. …”
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Decision Making in the Innovation Process: Data-Driven vs. Data-Informed by Muge Abac

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Quantitative data processing of whole service value chain for power grid internal simulation market by Nan Liu

“…Second, the internal simulation market construction within power grid enterprises is proposed. Then we propose a data mining-based collaborative fusion and processing method for multi-value chain quantitative data in power grid internal simulation markets to conduct data processing, including data fusion, abnormal data elimination and data dimensionality reduction, thereby improving the accuracy of information processing and data sharing. …”
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From anarchy to clarity, data pre‐processing and statistical choices influence quantitative environmental DNA (eDNA) analyses by Jonas Bylemans, Teun Everts, Rein Brys, Richard P. Duncan

“…While significant efforts have been made to standardise field and laboratory protocols, a notable gap remains in understanding the consequences of data pre‐processing and statistical choices on the final results obtained, particularly in quantitative eDNA analyses. …”
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THE ROLE OF METHODS FOR QUANTITATIVE ANALYSIS OF MAGNETIC RESONANCE IMAGING DATA IN THE DIAGNOSIS OF ALZHEIMER'S DISEASE AT AN EARLY STAGE by V. E. Sinitsyn, V. N. Gridin, E. M. Perepelova, V. A. Perepelov

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Data Collection and Analysis for Small-Town Policing: Challenges and Recommendations by Claire Kelling, Anna Haensch, Ariana Mendible, Spencer Brooks, Alexander Wiedemann, Manuchehr Aminian, Wade Hasty, Jude Higdon

Subjects: “…Data science…”
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An automated quantitative content analysis process for humanitarian logistics research by Nathan Kunz

“…Purpose – Access to high-quality data is a challenge for humanitarian logistics researchers. …”
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Operating cost budgeting methods: quantitative methods to improve the process by José Olegário Rodrigues da Silva, Graziela Fortunato, Sérgio Augusto Pereira Bastos

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Effect of industrial processing of crackers on the recovery and quantitation of allergens with ELISA kits by Cindy Hidalgo-Víquez, Rebeca López-Calvo, Adrián Roda-Brenes, Carolina Cortés-Herrera, Andrea Chacón

“…Introduction. Processing foods may generate limitations on the recovery and quantitation of allergens. …”
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Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845 by Malte Rehbein, Belen Escobari, Sarah Fischer, Anton Güntsch, Bettina Haas, Giada Matheisen, Tobias Perschl, Alois Wieshuber, Thore Engel

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Quantitative Calculation of Aquifer Water Quantity Using TEM Data by Lanying Huang, Shengdong Liu, Bo Wang, Fubao Zhou

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Mémoires du Covid-19 et archives du Web : pour une analyse quantitative du dépôt légal de la BNF by Roch Delannay, Marta Severo, Louis Gabrysiak

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Overview of mathematical EEG analysis. Quantitative EEG by А. А. Ivanov

“…The purpose of this article is to familiarize medical specialists involved in registration and analysis of electroencephalographic (EEG) studies using methods of mathematical processing and analysis for recorded EEG data. Understanding the principles of how quantitative EEG analysis tools work should help medical personnel to properly use their capabilities and ultimately improve quality of medical care. …”
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Experience in applying large language models to analyse quantitative sociological data by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

“…The article discusses the possibilities and limitations of using large language models (hereinafter referred to as LLM) to analyse quantitative data in sociological research. Also, attention is paid to the actor-network theory, according to which neural networks act as active participants of social interaction. …”
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A quantitative prediction method utilizing whole omics data for biosensing by Takahiko Koizumi, Kenta Suzuki, Inoue Mizuki, Kie Kumaishi, Yasunori Ichihashi

“…Abstract Omics data provide a plethora of quantifiable information that can potentially be used to identify biomarkers targeting the physiological processes and ecological phenomena of organisms. …”
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phylospatial: An R package for spatial phylogenetic analysis with quantitative community data by Matthew M. Kling

“…These gaps limit PD research on quantitative features of species distributions and can introduce imprecision and bias if continuous biodiversity data are thresholded to work with existing tools. …”
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Quantitative dynamics of neural uncertainty in sensory processing and decision-making during discriminative learning by Soonho Shin, Joonsu Oh, Sun Kwang Kim, Yong-Seok Lee, Sang Jeong Kim

“…Abstract Uncertainty is crucial in sensory processing, necessitating further quantitative research on its neural representation in the sensory cortex. …”
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Data-Model Fusion-Driven Method for Fault Quantitative Diagnosis of Heat Exchanger by Xiaogang Qin, Shiwei Yan, Haibo Xu, Yi Gao, Yanbing Yu, Jinjiang Wang

“…Aiming at the difficulty of precise fault identification and quantification for heat exchangers in multiple unknown failure modes, a data-model fusion-driven fault quantitative diagnosis method is proposed. …”
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Quantitative Risk Assessment of Steam Reforming Process by Hydrogen Generator, Using PHAST Model by Jongseok Lee, Hyunjun Kwak, Seungho Jung

“…As per the assessment, a vapor cloud explosion (VCE) caused damage of up to 42.6 m at an overpressure of 0.07 bar (1 psi), while a flash fire had an impact range of approximately 12.7 m based on hydrogen’s LFL (lower flammable limit). This quantitative risk assessment of the general steam reforming process provides valuable basic data for the design and operation of related facilities.…”
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Novel quantitative valuation of hybrid perovskite solar cells by Boping Yang, Guanfei Gong, Jiangzhao Chen

“…To date, the perovskite light-harvesting active materials are diversified and the device fabrication process is also various. Considered the fabrication costs and steps of PSCs based on different active materials, the quantitative valuation of different hybrid PSCs with PCE above 20% is implemented using data envelopment analysis (DEA) for the first time. …”
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