Here's how NEELLAB.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
Loading...

NEELLAB . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Neellab.github.io Make Money
  6. Keywords
  7. Topics
  8. External Links

We are analyzing https://neellab.github.io/bfg/.

Title:
Breast Functional Genomics
Description:
No description found...
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {๐Ÿ“š}

  • Telecommunications
  • Technology & Computing
  • Mobile Technology & AI

Content Management System {๐Ÿ“}

What CMS is neellab.github.io built with?

Custom-built

No common CMS systems were detected on Neellab.github.io, and no known web development framework was identified.

Traffic Estimate {๐Ÿ“ˆ}

What is the average monthly size of neellab.github.io audience?

๐Ÿšฆ Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 19 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Neellab.github.io Make Money? {๐Ÿ’ธ}

We're unsure if the website is profiting.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Neellab.github.io might be making money, but it's not detectable how they're doing it.

Keywords {๐Ÿ”}

data, file, cell, breast, functional, pergene, download, genomics, link, rnaseq, fpkm, files, shrna, line, luminal, basal, manuscript, proteomics, mirna, log, function, floor, values, find, header, click, directly, matrix, accessed, annotations, frame, number, rppa, subtypes, status, classification, gene, ids, genomic, landscape, human, cancer, drivers, vulnerabilities, resistance, azin, sayad, pages, simem, fixed,

Topics {โœ’๏ธ}

proteomics data files simem code published curtis integrative subtypes geo shrna screens lehmann tnbc subtypes data frame matches updated shrna annotations shrna screen data entrez gene ids felix sanchez-garcia deprecated entrez ids breast rna-seq claudin low status luminal cell lines gene fpkm file cell line functional genomic landscape dana peโ€™er rdata format file gene log fixed download link floor values set luminal androgen receptor time-point rppa gene fpkm mirna measurements matrix quantile-normalized neel cell floor values receptor expression gene id shrna count rna-seq measurement matrix log2-transformation receptor classification richard marcotte azin sayad jรผri reimand maliha haider carl virtanen jason moffat equal contributions quantile-normalization file directly including information ratios intrinsic classification

External Links {๐Ÿ”—}(16)

1.35s.