MOTIVATION One of the important steps of genome assembly is scaffolding, in which contigs are linked using information from read-pairs. Scaffolding provides estimates about the order, relative orientation and distance between contigs. We have found that contig distance estimates are generally strongly biased and based on false assumptions. Since erroneous distance estimates can mislead in subse...

Statisticians have long opined that researchers generally need to present estimates of the sizes of the effects which they report. It is not sufficient to report whether or not an effect is “statistically significant.” Statistical significance only tells you that the obtained sample results would be highly unlikely were the tested (aka “null”) hypothesis absolutely true. The tested hypothesis i...

The paper1 is devoted to the logistic regression analysis [1], applied to classification problems in biomedicine. A group of patients is investigated as a sample set; each patient is described with a set of features, named as biomarkers and is classified into two classes. Since the patient measurement is expensive the problem is to reduce number of measured features in order to increase sample ...

Consider a large database of questions that assess the knowledge of learners on a range of different concepts. In this paper, we study the problem of maximizing the estimation accuracy of each learner’s knowledge about a concept while minimizing the number of questions each learner must answer. We refer to this problem as test-size reduction (TeSR). Using the SPARse Factor Analysis (SPARFA) fra...

In a previous paper [6], we introduced the notion of using machine learning techniques to solve the problem of query size estimation in database query optimisation. In this paper, we build on this work by describing a new generic algorithm to correct the training set of queries for our machine learning method in response to updates. The training set correction algorithm is not only useful in th...

See article by de Groot et al. [9] (pages 315 –324) in this limitation of enzymatic infarct size [7]. Earlier, we demonissue. strated that thrombolytic therapy had no influence on the relation between infarct size estimated with aHBDH and Although the use of biochemical markers of acute left ventricular performance, indicating that coronary remyocardial infarction started in 1954 [1], their val...

................................................................................................... 2 INTRODUCTION............................................................................................ 3 SOFTWARE ESTIMATION AN OVERVIEW ............................................................................................... 3 INDUSTRY FOLLOWED ESTIMATION MECHANISMS .....................

In this paper, we propose a new approach to the estimation of query size for select and join operations. The technique, which we have called \systematic sam-pling", is a novel variant of the sampling approach, which sorts the relation before sampling, and which maintains a summary relation to improve run-time performance. We compare the method to a number of existing methods to tackle the probl...

Consider the problem of estimating, for every integer j, the number of households with j people in them, while protecting the privacy of individuals. Add in a geographical component, so that the household size distribution can be compared at the national, state, and county levels. This is an instance of the private hierarchical group size estimation problem, in which each group is associated wi...