نتایج جستجو برای: Target prediction

تعداد نتایج: 641006  

Journal: :iranian journal of basic medical sciences 0
shiyang wei department of gynecology, the first affiliated hospital of guangxi medical university, nanning, guangxi 530021, province, china hong xu department of gynecology, the first affiliated hospital of guangxi medical university, nanning, guangxi 530021, province, china yan kuang department of gynecology, the first affiliated hospital of guangxi medical university, nanning, guangxi 530021, province, china

objective(s): the purpose of this study was to conduct a meta-analysis on human micrornas (mirnas) expression data of endometriosis tissue profiles versus those of normal controls and to identify novel putative diagnostic markers. materials andmethods: pubmed, embase, web of science, ovid medline were used to search for endometriosis mirna expression profiling studies of endometriosis. the mirn...

Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...

Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه مازندران 1388

target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...

Journal: :modares journal of medical sciences: pathobiology 2015
sadat dokanehiifard bahram mohamad soltani

although more than 98% of the human genome is transcribed, most of these transcripts are not translated into proteins. rather, they are considered as non-coding rnas. micrornas (mirnas) are very short non-coding rnas approximately 22 nucleotides in length which regulate many key processes of cells such as growth, proliferation, differentiation, cell cycle, apoptosis (programmed cell death) and ...

Objective(s): The purpose of this study was to conduct a meta-analysis on human microRNAs (miRNAs) expression data of endometriosis tissue profiles versus those of normal controls and to identify novel putative diagnostic markers. Materials andMethods: PubMed, Embase, Web of Science, Ovid Medline were used to search for endometriosis miRNA expression profiling studies of endometriosis. The miRN...

Journal: :IEEE Trans. Pattern Anal. Mach. Intell. 1999
Grinnell Jones Bir Bhanu

ÐA model-based automatic target recognition (ATR) system is developed to recognize articulated and occluded objects in Synthetic Aperture Radar (SAR) images, based on invariant features of the objects. Characteristics of SAR target image scattering centers, azimuth variation, and articulation invariants are presented. The basic elements of the new recognition system are described and performanc...

1999
Hung-Chih Chiang

We present a method for estimating classi cation performance of a model-based synthetic aperture radar (SAR) automatic target recognition (ATR) system. Target classi cation is performed by comparing a feature vector extracted from a measured SAR image chip with a feature vector predicted from a hypothesized target class and pose. The feature vectors are matched using a Bayes likelihood metric t...

2014
Pradipta Biswas Patrick Langdon

Users with severe motor impairment often depends on alternative input devices like eye-gaze or head movement trackers to access computers. However these devices are not as fast as computer mouse and often turn difficult to use. We have proposed a Neural-network based model that can predict pointing target by analyzing pointing trajectory. We have validated the model for standard computer mouse,...

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