Mechanical properties in the semi-solid state and hot tearing of aluminium alloys

DG Eskin, L Katgerman - Progress in materials science, 2004 - Elsevier
This review represents a comprehensive coverage of results reported in the literature over
last 50 years on the methods of studying hot tearing and mechanical properties of semi-solid …

Biochemistry of foods

NAM Eskin, F Shahidi - 2012 - books.google.com
This bestselling reference bridges the gap between the introductory and highly specialized
books dealing with aspects of food biochemistry for undergraduate and graduate students, …

Macrosegregation in direct-chill casting of aluminium alloys

R Nadella, DG Eskin, Q Du, L Katgerman - Progress in Materials Science, 2008 - Elsevier
Semi-continuous direct-chill (DC) casting holds a prominent position in commercial aluminium
alloy processing, especially in production of large sized ingots. Macrosegregation, which …

Variance component model to account for sample structure in genome-wide association studies

…, NA Zaitlen, S Kong, NB Freimer, C Sabatti, E Eskin - Nature …, 2010 - nature.com
Although genome-wide association studies (GWASs) have identified numerous loci associated
with complex traits, imprecise modeling of the genetic relatedness within study samples …

Efficient control of population structure in model organism association mapping

…, CM Wade, A Kirby, D Heckerman, MJ Daly, E Eskin - Genetics, 2008 - academic.oup.com
Genomewide association mapping in model organisms such as inbred mouse strains is a
promising approach for the identification of risk factors related to human diseases. However, …

Data mining methods for detection of new malicious executables

MG Schultz, E Eskin, F Zadok… - Proceedings 2001 IEEE …, 2000 - ieeexplore.ieee.org
A serious security threat today is malicious executables, especially new, unseen malicious
executables often arriving as email attachments. These new malicious executables are …

A geometric framework for unsupervised anomaly detection: Detecting intrusions in unlabeled data

E Eskin, A Arnold, M Prerau, L Portnoy… - Applications of data …, 2002 - Springer
Most current intrusion detection systems employ signature-based methods or data mining-based
methods which rely on labeled training data. This training data is typically expensive to …

The spectrum kernel: A string kernel for SVM protein classification

C Leslie, E Eskin, WS Noble - Biocomputing 2002, 2001 - World Scientific
We introduce a new sequence-similarity kernel, the spectrum kernel, for use with support
vector machines (SVMs) in a discriminative approach to the protein classification problem. Our …

[HTML][HTML] Mouse genomic variation and its effect on phenotypes and gene regulation

…, A Agam, G Slater, M Goodson, NA Furlotte, E Eskin… - Nature, 2011 - nature.com
We report genome sequences of 17 inbred strains of laboratory mice and identify almost ten
times more variants than previously known. We use these genomes to explore the …

Whole-genome patterns of common DNA variation in three human populations

DA Hinds, LL Stuve, GB Nilsen, E Halperin, E Eskin… - Science, 2005 - science.org
Individual differences in DNA sequence are the genetic basis of human variability. We have
characterized whole-genome patterns of common human DNA variation by genotyping …