Bayesian inference model
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Continued part 1, part 2 of ebook "Introduction to mathematical statistics (Eighth edition)" provides readers with contents including: chapter 5 - consistency and limiting distributions; chapter 6 - maximum likelihood methods; chapter 7 - sufficiency; chapter 8 - optimal tests of hypotheses; chapter 9 - inferences about normal linear models; chapter 10 - nonparametric and robust statistics; chapter 11 - bayesian statistics;...
426p hanlinhchi 29-08-2023 6 3 Download
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Part 1 of ebook "Bayesian and frequentist regression methods" has presents the following content: introduction and motivating examples; inferential approaches; frequentist inference; bayesian inference; hypothesis testing and variable selection; independent data; linear models; general regression models; binary data models;...
365p dieptieuung 20-07-2023 5 2 Download
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Part 1 of ebook "Introduction to formal Philosophy" has presents the following content: the scope and methods of formal philosophy; reasoning and inference; metaphysics and philosophy of language; formal methods and the history of philosophy; neural network models of conditionals; bivalence and future contingency;...
358p dieptieuung 20-07-2023 7 3 Download
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Ebook Introduction to mathematical statistics (4th edition): Part 2 includes the following content: Chapter 6 maximum likelihood methods, chapter 7 sufficiency, chapter 8 optimal tests of hypotheses, chapter 9 inferences about normal linear models, chapter 10 nonparametric and robust statistics, chapter 11 bayesian statistics.
120p haojiubujain01 24-06-2023 7 4 Download
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We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic models in order to forecast future states, to impute missing data from the past by smoothing, and to infer measurable and unmeasurable quantities that represent clinically and scientifically important phenotypes.
10p visteverogers 24-06-2023 5 2 Download
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To compare the original synthetic control (OSC) method with alternative approaches (Generalized [GSC], Micro [MSC], and Bayesian [BSC] synthetic control methods) and re-evaluate the impact of a significant restructuring of urgent and emergency care in Northeast England, which included the opening of the UK's first purpose-built specialist emergency care hospital.
13p vigamora 25-05-2023 8 2 Download
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Increasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes.
7p vihagrid 30-01-2023 7 3 Download
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Lecture Artificial Intelligence - Chapter 15a: Temporal probability models. The main contents of this chapter include all of the following: Time and uncertainty; Inference: filtering, prediction, smoothing; Hidden Markov models; Kalman filters (a brief mention); Dynamic Bayesian networks; Particle filtering.
39p cucngoainhan0 10-05-2022 11 2 Download
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We introduce a Bayesian semi-supervised method for estimating cell counts from DNA methylation by leveraging an easily obtainable prior knowledge on the cell-type composition distribution of the studied tissue. We show mathematically and empirically that alternative methods which attempt to infer cell counts without methylation reference only capture linear combinations of cell counts rather than provide one component per cell type.
18p vigalileogalilei 27-02-2022 13 1 Download
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The structure and mechanical properties of chromatin impact DNA functions and nuclear architecture but remain poorly understood. In budding yeast, a simple polymer model with minimal sequence-specific constraints and a small number of structural parameters can explain diverse experimental data on nuclear architecture.
15p vialfrednobel 29-01-2022 13 0 Download
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Subclonal mutations reveal important features of the genetic architecture of tumors. However, accurate detection of mutations in genetically heterogeneous tumor cell populations using next-generation sequencing remains challenging.
11p viaristotle 29-01-2022 10 0 Download
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Chromatin interactions are important for gene regulation and cellular specialization. Emerging evidence suggests many-body spatial interactions play important roles in condensing super-enhancer regions into a cohesive transcriptional apparatus. Chromosome conformation studies using Hi-C are limited to pairwise, population-averaged interactions; therefore unsuitable for direct assessment of many-body interactions.
17p viarchimedes 26-01-2022 13 0 Download
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Prostate cancer is caused by genomic aberrations in normal epithelial cells, however clinical translation of findings from analyses of cancer cells alone has been very limited. A deeper understanding of the tumour microenvironment is needed to identify the key drivers of disease progression and reveal novel therapeutic opportunities.
18p vimahuateng 26-11-2021 9 1 Download
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MicroRNA regulation is fundamentally responsible for fine-tuning the whole gene network in human and has been implicated in most physiological and pathological conditions. Studying regulatory impact of microRNA on various cellular and disease processes has resulted in numerous computational tools that investigate microRNA-mRNA interactions through the prediction of static binding site highly dependent on sequence pairing.
11p vitzuyu2711 29-09-2021 14 1 Download
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One of the major challenges in microbial studies is detecting associations between microbial communities and a specific disease. A specialized feature of microbiome count data is that intestinal bacterial communities form clusters called as “enterotype”, which are characterized by differences in specific bacterial taxa, making it difficult to analyze these data under health and disease conditions.
13p visilicon2711 20-08-2021 10 1 Download
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Single-cell gene expression measurements offer opportunities in deriving mechanistic understanding of complex diseases, including cancer. However, due to the complex regulatory machinery of the cell, gene regulatory network (GRN) model inference based on such data still manifests significant uncertainty.
11p visilicon2711 20-08-2021 6 1 Download
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Vaccines have greatly reduced the burden of infectious disease, ranking in their impact on global health second only after clean water. Most vaccines confer protection by the production of antibodies with binding affinity for the antigen, which is the main effector function of B cells.
11p vijeeni2711 24-07-2021 14 0 Download
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In any gene regulatory network (GRN), the complex interactions occurring amongst transcription factors and target genes can be either instantaneous or time-delayed. However, many existing modeling approaches currently applied for inferring GRNs are unable to represent both these interactions simultaneously.
22p viwyoming2711 16-12-2020 14 1 Download
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One of the goals of the Systems Biology community is to have a detailed map of all biological interactions in an organism. One small yet important step in this direction is the creation of biological networks from post-genomic data.
10p vikentucky2711 24-11-2020 28 2 Download
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In many domains, scientists build complex simulators of natural phenomena that encode their hypotheses about the underlying processes. These simulators can be deterministic or stochastic, fast or slow, constrained or unconstrained, and so on.
20p vikentucky2711 24-11-2020 14 2 Download