نتایج جستجو برای: spata

تعداد نتایج: 16  

Ali Zekri, Mohammad Nouri, Mohammad Hosein Modarressi, Reza Ebrahimzadeh-Vesal, Seyedmehdi Nourashrafeddin,

Background: The study of specific genes expressed in the testis is important to understanding testis development and function. Spermatogenesis is an attractive model for the study of gene expression during germ cell differentiation. Spermatogenesis associated-19 (Spata-19) is a recently-identified important spermatogenesis-related gene specifically expressed in testis. Its protein product is in...

Journal: :reports of biochemistry and molecular biology 0
seyedmehdi nourashrafeddin department of clinical biochemistry, faculty of medicine, tabriz university of medical sciences, tabriz, iran. reza ebrahimzadeh-vesal department of medical genetics, faculty of medicine, tehran university of medical sciences, tehran, iran. mohammad hosein modarressi department of medical genetics, faculty of medicine, tehran university of medical sciences, tehran, iran. ali zekri department of medical genetics, faculty of medicine, tehran university of medical sciences, tehran, iran. mohammad nouri tel: +98 4115541221; fax: +98 4115541221

background: the study of specific genes expressed in the testis is important to understanding testis development and function. spermatogenesis is an attractive model for the study of gene expression during germ cell differentiation. spermatogenesis associated-19 (spata-19) is a recently-identified important spermatogenesis-related gene specifically expressed in testis. its protein product is in...

Journal: :IEEE Pervasive Computing 2015
Christian Weichel Jason Alexander Abhijit Karnik Hans-Werner Gellersen

A s digital fabrication and digital design become more and more pervasive, the physical tools we use in conjunction will have to catch up. With the Internet of Things, cyberphysical systems, and Industry 4.0 in our midst, connecting and integrating measurement tools into design processes is a logical step. Here, we describe the first steps in that direction, coming from a variety of communities...

Journal: :Energies 2023

Artificial intelligence models have been widely applied for natural gas consumption forecasting over the past decades, especially short-term forecasting. This paper proposes a three-layer neural network model that can extract key information from input factors and improve weight optimization mechanism of long memory (LSTM) to effectively forecast consumption. In proposed model, convolutional (C...

Journal: :CoRR 2013
Tin Chi Nguyen Zhiyu Zhao Dongxiao Zhu

Transcriptome assembly from RNA-Seq reads is an active area of bioinformatics research. The ever-declining cost and the increasing depth of RNA-Seq have provided unprecedented opportunities to better identify expressed transcripts. However, the nonlinear transcript structures and the ultra-high throughput of RNA-Seq reads pose significant algorithmic and computational challenges to the existing...

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