1230: Meningococcal Septic Shock Phenotypic Weighted Gene Correlation Network Analysis in Infants
نویسندگان
چکیده
منابع مشابه
Outcome research in meningococcal septic shock
We thank Dr Paize and Dr Playfor for their comments [1] regarding our earlier article in Critical Care [2]. In their commentary Dr Paize and Dr Playfor stated that the reasons for a marked reduction in the mortality of children with meningococcal disease in the paediatric intensive care unit are multifactorial: increased centralization of the paediatric intensive care unit, improvement in aware...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولSupplementary Methods: Weighted Correlation Network Analysis
Comparing expression and methylation networks necessitates that the network nodes can be matched between expression and methylation networks. Since expression and methylation probe sets are very different, a simple approach is to aggregate (“collapse”) the probe-level data to gene-level data. To this end we use the function collapseRows [6] that selects a representative probe for each gene repr...
متن کاملPharmacologic support of infants and children in septic shock.
OBJECTIVES Septic shock (SS) is a frequent cause for admission to the pediatric intensive care unit, requiring prompt recognition and intervention to improve outcome. Our aim is to review the relevant literature related to the diagnosis and management of SS and present a sequential management for its treatment. SOURCES Non-systematic review of medical literature using the MEDLINE database. Ar...
متن کاملWeighted network analysis of high-frequency cross-correlation measures.
In this paper we implement a Fourier method to estimate high-frequency correlation matrices from small data sets. The Fourier estimates are shown to be considerably less noisy than the standard Pearson correlation measures and thus capable of detecting subtle changes in correlation matrices with just a month of data. The evolution of correlation at different time scales is analyzed from the ful...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Critical Care Medicine
سال: 2020
ISSN: 0090-3493
DOI: 10.1097/01.ccm.0000730808.73165.cf