نتایج جستجو برای: genetics algorithms

تعداد نتایج: 403033  

Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...

2018
David O’Connor Amir Enshaei Jack Bartram Jeremy Hancock Christine J. Harrison Rachael Hough Sujith Samarasinghe Claire Schwab Ajay Vora Rachel Wade John Moppett Anthony V. Moorman Nick Goulden

Purpose Minimal residual disease (MRD) and genetic abnormalities are important risk factors for outcome in acute lymphoblastic leukemia. Current risk algorithms dichotomize MRD data and do not assimilate genetics when assigning MRD risk, which reduces predictive accuracy. The aim of our study was to exploit the full power of MRD by examining it as a continuous variable and to integrate it with ...

Vallian Borujeni, Sadegh, Yavari, Mahdiyeh,

Endometriosis is a chronic disease that affects 10-15% of women in their childbearing years and peaks between the ages of 25 and 35. In this disease, the endometrial tissue of the uterus is formed and grows outside of it. Family studies and investigation of twins show that endometriosis is more common in the relatives of the infected individuals. Studies on the role of genetics and the environm...

1992
F. Comellas

− Two near-optimum planarization algorithms are presented. The algorithms belong to a general class of algorithms known as genetic algorithms because the search procedures on which they are based are inspired on the mechanics of natural selection and natural genetics. The first algorithm is intended to generate a near-maximal planar subgraph from a given graph and also provides the routing info...

2012
Brajesh Varshney Pankaj Srivastava M. M. Raghuwanshi

In recent decades, considerable research efforts have been devoted to using machine learning or data mining techniques to automatically discover the parameters in multi-objective functions. Among these techniques, the genetic algorithms have been recognized to be particularly powerful in multi-objective problems. Genetic algorithms play a significant role, as search techniques for handling comp...

Journal: :iranian journal of public health 0
seyed hasan saadat 1. behavioral sciences research center, baqiyatallah university of medical sciences , tehran, iran. khodabakhsh ahmadi 1. behavioral sciences research center, baqiyatallah university of medical sciences , tehran, iran. fakhruddin feyzi 1. behavioral sciences research center, baqiyatallah university of medical sciences , tehran, iran. mostafa ghanei 2. chemical injuries research center, baqiyatallah university of medical sciences , tehran, iran.

the overwhelming rate of progress in biotechnological research especially in human genetics, as well as the high levels of power these researches provide us to intervene in human lives, brings serious concerns on the ethical problems that may rise from these research endeavors. to address this critical issue in iran, we conducted a study issuing publishing authors of studies in human genetics f...

پایان نامه :وزارت بهداشت، درمان و آموزش پزشکی - دانشگاه علوم پزشکی و خدمات بهداشتی درمانی شهید صدوقی یزد - دانشکده پزشکی 1389

چکیده ندارد.

Journal: :molecular biology research communications 2015
mostafa saadat

angiotensin converting enzyme (ace; omim: 106180) has an important role in the conversion of angiotensin i to angiotensin ii and degradation of bradykinin. genetic polymorphism i/d (rs4646994) in the gene encoding ace has been well defined. to get more insight into the genetic structure of iranian populations, the distribution of the ace i/d polymorphism among iranians was compared with each ot...

Journal: :journal of agricultural science and technology 2015
o. adekanmbi o. olugbara

this paper presents a model for constrained multiobjective optimization of mixed-cropping planning. the decision challenges that are normally faced by farmers include what to plant, when to plant, where to plant and how much to plant in order to yield maximum output. consequently, the central objective of this work is to concurrently maximize net profit, maximize crop production and minimize pl...

2013
Eric Frichot Sean Schoville Guillaume Bouchard Olivier François

Adaptation to local environments often occurs through natural selection acting on a large number of alleles, each having a weak phenotypic effect. One way to detect these alleles is to identify genetic polymorphisms that exhibit high correlation with environmental variables used as proxies for ecological pressures. Here we propose an integrated framework based on population genetics, ecological...

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