Given a multivariate data set, sparse principal component analysis (SPCA) aims to extract several linear combinations of the variables that together explain the variance in the data as much as possible, while controlling the number of nonzero loadings in these combinations. In this paper we consider 8 different optimization formulations for computing a single sparse loading vector; these are obtained by combining the following factors: we employ two norms for measuring variance (L2, L1) and two sparsity-inducing norms (L0, L1), which are used in two different ways (constraint, penalty). Three of our formulations, notably the one with L0 constraint and L1 variance, have not been considered in the literature. We give a unifying reformulation which we propose to solve via a natural alternating maximization (AM) method. We show the the AM method is nontrivially equivalent to GPower (Journ'{e}e et al; JMLR 11:517--553, 2010) for all our formulations. Besides this, we provide 24 efficient parallel SPCA implementations: 3 codes (multi-core, GPU and cluster) for each of the 8 problems. Parallelism in the methods is aimed at i) speeding up computations (our GPU code can be 100 times faster than an efficient serial code written in C++), ii) obtaining solutions explaining more variance and iii) dealing with big data problems (our cluster code is able to solve a 357 GB problem in about a minute).

How an organization controls its actions. Governance describes the mechanisms an organization uses to ensure that its constituents follow its established processes and policies. It is the primary means of maintaining oversight and accountability in a loosely coupled organizational structure. A proper governance strategy implements systems to monitor and record what is going on, takes steps to ensure compliance with agreed policies, and provides for corrective action in cases where the rules have been ignored or misconstrued.

Kun Liang.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2452--2482.

Abstract:
Finding differentially expressed genes is a common task in high-throughput transcriptome studies. While traditional statistical methods rank the genes by their test statistics alone, we analyze an RNA sequencing dataset using the auxiliary information of gene length and the test statistics from a related microarray study. Given the auxiliary information, we propose a novel nonparametric empirical Bayes procedure to estimate the posterior probability of differential expression for each gene. We demonstrate the advantage of our procedure in extensive simulation studies and a psoriasis RNA sequencing study. The companion R package calm is available at Bioconductor.

Yiyi Liu, Joshua L. Warren, Hongyu Zhao.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1733--1752.

Abstract:
Understanding the heterogeneity of cells is an important biological question. The development of single-cell RNA-sequencing (scRNA-seq) technology provides high resolution data for such inquiry. A key challenge in scRNA-seq analysis is the high variability of measured RNA expression levels and frequent dropouts (missing values) due to limited input RNA compared to bulk RNA-seq measurement. Existing clustering methods do not perform well for these noisy and zero-inflated scRNA-seq data. In this manuscript we propose a Bayesian hierarchical model, called BasClu, to appropriately characterize important features of scRNA-seq data in order to more accurately cluster cells. We demonstrate the effectiveness of our method with extensive simulation studies and applications to three real scRNA-seq datasets.

Austin-Bergstrom International Airport said it was "aware of an individual that was struck and killed on runway 17-R by a landing aircraft."

Divyansh Agarwal, Jingshu Wang, Nancy R. Zhang.

Source: Statistical Science, Volume 35, Number 1, 112--128.

Abstract:
Single cell sequencing technologies are transforming biomedical research. However, due to the inherent nature of the data, single cell RNA sequencing analysis poses new computational and statistical challenges. We begin with a survey of a selection of topics in this field, with a gentle introduction to the biology and a more detailed exploration of the technical noise. We consider in detail the problem of single cell data denoising, sometimes referred to as “imputation” in the relevant literature. We discuss why this is not a typical statistical imputation problem, and review current approaches to this problem. We then explore why the use of denoised values in downstream analyses invites novel statistical insights, and how denoising uncertainty should be accounted for to yield valid statistical inference. The utilization of denoised or imputed matrices in statistical inference is not unique to single cell genomics, and arises in many other fields. We describe the challenges in this type of analysis, discuss some preliminary solutions, and highlight unresolved issues.

London : Cleanair (33 Stillness Rd, London, SE23 1NG), [198-?]

[London?], [199-?]

Ye Zhang
Sep 3, 2014; 34:11929-11947
Cellular

Ye Zhang
Sep 3, 2014; 34:11929-11947
Cellular

Italian translation of the BIS Press Release on the presentation of the Annual Report (25 June 2017)

Italian translation of the BIS press release about the BIS Quarterly Review, March 2018

Speech by Mr Claudio Borio, Head of the Monetary and Economic Department of the BIS, at the OECD-G20 High Level Policy Seminar, Paris, 11 September 2019.

In 2015 we celebrated the “International Year of Soils” and with good reason. Soil sustains all our agricultural and livestock food production, wood for fuel production, filters water so that we can drink it and fish can live in it. We also use it for construction - therefore it sustains our homes and infrastructure. As we approach the end of #IYS [...]

Mountains provide freshwater and biodiversity, and are a major source of food. By definition, they dominate their surroundings with towering height and protect valleys and their inhabitants. They play a critical part in moving the world towards sustainable economic growth and have a leading role as indicators of climate change. As we celebrate the International Mountain Day, see how much you [...]

10: EtymologyThe word pulse originates directly from the Latin puls meaning "thick gruel, porridge, mush.” 9: Pulses vs legumes, what’s the difference?The term "legume" refers to the plants whose fruit is enclosed in a pod. Pulses are a subgroup of the legume family, but the term “pulse” refers only to the dried seed. Dried beans, lentils and peas are the most commonly known and consumed types [...]

In 2016 we celebrated the International Year of Pulses and it is obvious why. Pulses are good for you, beneficial to farmers' livelihoods and have a positive impact on the environment. It is clear that even though dried beans, lentils and peas have been around for centuries, they will play a fundamental role in our sustainable future. Even though #IYP2016 has [...]

A new analysis of ancient ostrich eggs at the British Museum underscores the interconnectedness of the ancient world

The ancient Egyptian girl was only 15 or 16 years old when she died

Items recovered include fossils, paintings, ancient coins, ceramics and jewelry

Parents-to-be who will have their new child delivered at the Thunder Bay Regional Health Sciences Centre have to follow a different set of guidelines than found at many other hospitals across Ontario.

<span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">Whistleblower-Alternativen, Anonymous-Portrait, Jugendmedienschutz ...: Diese Woche wollen wir pr... http://bit.ly/fed0Um #Whistleblower</span></span>

Purified RNA may need to be concentrated by precipitation for downstream applications. Precipitation of RNA with ethanol (or isopropanol) is the standard method to recover RNA from aqueous solutions.

Using a cross-country sample of bank-dependent public fi rms we study the international spillovers of a change in banking regulation on corporate borrowing. For identi cation we examine how US rms' liabilities vis-a-vis banks, non-bank lenders and bond markets evolve after an increase in capital requirements implemented by the European Banking Authority (EBA) in 2011. We find that US firms experience a reduction in credit lines but not in term loans from EU banks.