iphone能用谷歌吗
Powered by the world's most impactful protein analysis platform
iphone能用谷歌吗
Alkahest
Bristol-Myers Squibb
Louisiana State University
Henry Ford Health System
赛 风3 安卓版百度云
…and more
iphone能用谷歌吗
iphone能用谷歌吗
You provide a few key clinical data elements, we provide 5,000+ highly reproducible measurements at a reduced cost
iphone能用谷歌吗
赛 风3 安卓手机版
We provide 4,500 highly reproducible measurements on a simple fee-for-service basis (no data sharing required)
iphone能用谷歌吗
如何使用风赛
PROTEIN ASSAYS COMPLEMENT GENOMICS TO IDENTIFY:
- Patient subpopulations
- Novel therapeutic targets
- New disease applications for approved drugs
- Possible safety concerns
- Mechanisms of action
iphone能用谷歌吗
CVD
Circulating proteins are powerful indicators of cardiovascular disease. Explore >25 CVD publications featuring SomaScan data.
ONCOLOGY
Identify and characterize cancers and predict response to immunotherapy by measuring circulating proteins.
NASH & NAFLD
The SomaScan Assay can be used to detect biomarkers associated with nonalcoholic steatohepatitis and nonalcoholic fatty liver disease.
赛·风3安卓版免费下载
Proteomics can shed light on the pathology of infectious disease, discover predictors of disease progression, or demonstrate treatment response.
iphone能用谷歌吗
The SomaScan platform is optimized for clinical proteomics
Largest Menu
The largest commercial proteomic assay on the market, providing over 5,000 protein measurements.
680 samples/day
Our workflow is massively multiplexed with considerable controls to yield fast, accurate data.
赛风3（2号）电脑版.exe百度网盘下载-资源下载-57FX百度云:2021-5-10 · 相关说明： 赛风3（2号）电脑版.exe为百度云搜索资源搜索整理的结果，为方便用户您可伍直接在本站下载文件，下载地址为百度网盘的直接下载地址，可高速下载，当然您也可伍把文件保存到您的 …
With average CVs of <5%, SomaScan reagents provide reproducible results for patient samples and healthy controls.
8 log dynamic range
Our unique approach detects very rare proteins and highly abundant proteins from the same sample simultaneously.
iphone能用谷歌吗
Comprehensive
liquid health check
Protein signatures from 17,000 samples were compared with traditional health indicators to generate 13 predictive models.
Read in Nature Medicine
linking genetics
to disease
Circulating proteins were used to identify 27 network modules associated with CVD, metabolic diseases, and overall survival.
Read in Science
building a
proteomic atlas
Read in Nature
profiling
aging-related disease
Waves of proteomic changes across lifespan reflect distinct pathways, particularly in the seventh and eighth decades of life.
Read in Nature Medicine
iphone能用谷歌吗
