纯生信数据挖掘太神奇了,就这样也能发3.5分非OA期刊

今天发现有四篇GEO数据挖掘挖掘的文章,都是纯生信的,分析内容也是比较简单的。这四篇文章都是出自于同一个期刊:INVESTIGATIONAL NEW DRUGS,影响因子:3.525,中科院最新分区:3区不在中科院预警名单内,非OA期刊,不是需要版面费,审稿周期:1-2个月

下面这些文章都是出自INVESTIGATIONAL NEW DRUGS,感兴趣的可以看看:

1: Chen B, Sun D, Qin X, Gao XH. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis. Invest New Drugs. 2021 Jan 26. doi: 10.1007/s10637-021-01072-y. Epub ahead of print. PMID: 33501609.

2: Wu M, Zhao Y, Peng N, Tao Z, Chen B. Identification of chemoresistance-associated microRNAs and hub genes in breast cancer using bioinformatics analysis. Invest New Drugs. 2021 Jan 4. doi: 10.1007/s10637-020-01059-1. Epub ahead of print. PMID: 33394259.

3: Chen B, Ding P, Hua Z, Qin X, Li Z. Analysis and identification of novel biomarkers involved in neuroblastoma via integrated bioinformatics. Invest New Drugs. 2020 Aug 8. doi:10.1007/s10637-020-00980-9. Epub ahead of print. PMID:32772341.

4: Zhang Y, Garofano F, Wu X, Schmid M, Krawitz P, Essler M, Schmidt-Wolf IGH. Integrative analysis of key candidate genes and signaling pathways in autoimmune thyroid dysfunction related to anti-CTLA-4 therapy by bioinformatics. Invest New Drugs. 2020 Dec;38(6):1717-1729. doi: 10.1007/s10637-020-00952-z. Epub 2020 Jun 4. PMID: 32500465; PMCID: PMC7575511.

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