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Elements of Causal Inference

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Book Series: Adaptive Computation and Machine Learning series ISBN: 9780262344296 9780262037310 Year: Pages: 288 Language: English
Publisher: The MIT Press
Subject: Computer Science
Added to DOAB on : 2019-01-17 11:41:31
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Abstract

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Cell-Free Nucleic Acids

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ISBN: 9783039280742 / 9783039280759 Year: Pages: 248 DOI: 10.3390/books978-3-03928-075-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2020-01-30 16:39:46
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The deficits of mammography and the potential of noninvasive diagnostic testing using circulating miRNA profiles are presented in our first review article. Exosomes are important in the transfer of genetic information. The current knowledge on exosome-associated DNAs and on vesicle-associated DNAs and their role in pregnancy-related complications is presented in the next article. The major obstacle is the lack of a standardized technique for the isolation and measurement of exosomes. One review has summarized the latest results on cell-free nucleic acids in inflammatory bowel disease (IBD). Despite the extensive research, the etiology and exact pathogenesis are still unclear, although similarity to the cell-free ribonucleic acids (cfRNAs) observed in other autoimmune diseases seems to be relevant in IBD. Liquid biopsy is a useful tool for the differentiation of leiomyomas and sarcomas in the corpus uteri. One manuscript has collected the most important knowledge of mesenchymal uterine tumors and shows the benefits of noninvasive sampling. Microchimerism has also recently become a hot topic. It is discussed in the context of various forms of transplantation and transplantation-related advanced therapies, the available cell-free nucleic acid (cfNA) markers, and the detection platforms that have been introduced. Ovarian cancer is one of the leading serious malignancies among women, with a high incidence of mortality; the introduction of new noninvasive diagnostic markers could help in its early detection and treatment monitoring. Epigenetic regulation is very important during the development of diseases and drug resistance. Methylation changes are important signs during ovarian cancer development, and it seems that the CDH1 gene is a potential candidate for being a noninvasive biomarker in the diagnosis of ovarian cancer. Preeclampsia is a mysterious disease—despite intensive research, the exact details of its development are unknown. It seems that cell-free nucleic acids could serve as biomarkers for the early detection of this disease. Three research papers deal with the prenatal application of cfDNA. Copy number variants (CNVs) are important subjects for the study of human genome variations, as CNVs can contribute to population diversity and human genetic diseases. These are useful in NIPT as a source of population specific data. The reliability of NIPT depends on the accurate estimation of fetal fraction. Improvement in the success rate of in vitro fertilization (IVF) and embryo transfer (ET) is an important goal. The measurement of embryo-specific small noncoding RNAs in culture media could improve the efficiency of ET.

Keywords

breast cancer --- screening --- liquid biopsy --- omics --- multi-level diagnostics --- individualized patient profile --- miRNA --- mammography --- predictive and preventive approach --- personalized medicine --- cell-free DNA --- exosomes --- extracellular vesicles --- fetal DNA --- preeclampsia --- growth retardation --- gestational diabetes mellitus --- miRNA --- piRNA --- NGS --- RT-PCR --- embryo culture medium --- C19MC microRNA --- expression --- exosomes --- fetal growth restriction --- gestational hypertension --- plasma --- prediction --- preeclampsia --- pregnancy-related complications --- screening --- non-invasive prenatal testing --- statistical models --- z-score --- cell-free nucleic acids --- circulating nucleic acids --- cell-free DNAs --- cell-free RNAs --- exosomes --- inflammatory bowel disease --- neutrophil extracellular traps --- NETosis --- liquid biopsy --- cell-free nucleic acids --- circulating tumor cells --- leiomyomas --- sarcomas --- leiomyosarcomas --- exosomes --- NIPT --- fetal fraction --- statistical methods --- DNA --- maternal serum screening --- fetal cells --- liquid biopsy --- pyrosequencing --- ovarian cancer --- CDH1 --- PTEN --- PAX1 --- RASSF1 --- cfDNA --- cell-free DNA --- nuclease activity --- aging --- obesity --- gender differences --- copy number variants --- next generation sequencing --- non-invasive prenatal testing --- population study --- microchimerism --- solid organ transplantation --- hematopoietic stem cell transplantation --- genetic marker --- single nucleotide polymorphism --- deletion/insertion polymorphism --- ovarian cancer --- circulating miRNA --- blood plasma --- NanoString --- network analysis --- biomarker --- n/a

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