Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Long non-coding RNAs function as novel predictors and targets of non-small cell lung cancer: a systematic review and meta-analysis.

Yanlu Xiong | Tao Wang | Mingxing Wang | Jinbo Zhao | Xiaofei Li | Zhipei Zhang | Yongsheng Zhou | Jiabao Liu | Lintao Jia | Yong Han
Oncotarget | 2018

Non-small cell lung cancer (NSCLC) is associated with high morbidity and mortality, leading the understanding the pathogenesis paramount. Recent studies suggest that long non-coding RNAs (lncRNAs) play an important role in NSCLC. We conducted a systematic review to examine the relationship between lncRNAs and NSCLC.

Pubmed ID: 29541420

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Google Scholar (tool)

RRID:SCR_008878

Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research. Features of Google Scholar * Search diverse sources from one convenient place * Find articles, theses, books, abstracts or court opinions * Locate the complete document through your library or on the web * Learn about key scholarly literature in any area of research How are documents ranked? Google Scholar aims to rank documents the way researchers do, weighing the full text of each document, where it was published, who it was written by, as well as how often and how recently it has been cited in other scholarly literature. * Publishers - Include your publications in Google Scholar * Librarians - Help patrons discover your library''s resources

View all literature mentions

Stata (tool)

RRID:SCR_012763

A Software resource for statistical analysis and presentation of graphics.

View all literature mentions