1.
Experimental Study on the Detection of TORCH Infections Using Protein Microarray Technology;
蛋白质微阵列技术在检测TORCH感染中的实验研究
2.
Optimizing of the Preparation Condition of Agarose Modified Glass Slide for the Production of Protein Microarrays;
蛋白质微阵列生产用琼脂糖修饰玻片制备的条件优化
3.
Preliminary Study on Testing Method of Three Mycotoxins by Protein Microarray and Preparation of Anti-TC Polyclonal Antibodies;
三种真菌毒素蛋白质微阵列检测方法的初步研究以及抗四环素多克隆抗体的制备
4.
Preparation, Optimization and Application of One-Dimensional Microfluidic Microbead Arrays for Protein Analysis;
一维微流控蛋白质微珠阵列的制备、优化及应用
5.
Applications of One-Dimensional Microfluidic Beads Array Chip in Nucleic Acids and Proteins Analysis;
一维微流控微珠阵列芯片在核酸和蛋白质分析中的应用
6.
Protein Microarray Analysis of Protein That BMSCs Regulate the Differentiation of NSCs;
骨髓基质细胞诱导神经干细胞分化的蛋白质的微阵列分析
7.
Figure1 Illustrates the most common protein array, the antibody microarray.
图1最常见的蛋白质阵列,抗体芯片.
8.
Identification of Ubiquitin Target Proteins Using Cell-based Arrays;
基于细胞微阵列筛选泛素—蛋白酶体通路底物的研究
9.
Experimental Studies on Detection of Urinary Micro Protein by Piezoelectric Quartz Crystal Immunosensor Array;
尿微量蛋白压电石英晶体免疫传感器阵列的实验研究
10.
Application of Microarray Technology to Research the Status of Her-2 Gene Amplification and Protein Expression in Breast Cancer
应用微阵列技术研究乳腺癌HER-2基因状态和蛋白的表达
11.
The protein out of which microtubules are made is called tubulin.
构成微管的蛋白质叫做微管蛋白。
12.
Using dihedral angle series of protein for protein structure comparison
利用蛋白质的二面角序列对蛋白质结构比对
13.
Design of four-channel piezoelectric immunosensor array to detect bone sialoprotein
四通道骨唾液蛋白压电免疫传感器阵列的研制
14.
Effects of protein sources on AA profiles of microbial protein in goats rumen
蛋白质源对山羊瘤胃微生物蛋白AA组成的影响
15.
Analyzing Similarity of Protein Sequences with Discrete Wavelet Transform;
离散小波变换分析蛋白质序列相似性
16.
Predicting Protein Molecular Functions Based on Sequence Features;
基于序列特征的蛋白质分子功能预测
17.
An Optimized Method for Protein Motif Mining
一种优化的蛋白质序列模式挖掘方法
18.
PREDICTION OF PROTEIN STRUCTURAL CLASSES BY USING WHOLE SEQUENCE AND NEURAL NETWORK
蛋白质结构类的全序列神经网络预测