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We are analyzing https://www.nature.com/articles/nmeth.4263.

Title:
SCnorm: robust normalization of single-cell RNA-seq data | Nature Methods
Description:
SCnorm normalizes single-cell RNA-seq data for improved downstream analyses such as differential expression and cell-state discrimination. The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data.
Website Age:
30 years and 10 months (reg. 1994-08-11).

Matching Content Categories {📚}

  • Education
  • Telecommunications
  • Technology & Computing

Content Management System {📝}

What CMS is nature.com built with?

Custom-built

No common CMS systems were detected on Nature.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of nature.com audience?

🌆 Monumental Traffic: 20M - 50M visitors per month


Based on our best estimate, this website will receive around 42,554,915 visitors per month in the current month.

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How Does Nature.com Make Money? {💸}


Display Ads {🎯}


The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.

Ads are managed by yourbow.com. Particular relationships are as follows:

Direct Advertisers (10)
google.com, pmc.com, doceree.com, yourbow.com, audienciad.com, onlinemediasolutions.com, advibe.media, aps.amazon.com, getmediamx.com, onomagic.com

Reseller Advertisers (38)
conversantmedia.com, rubiconproject.com, pubmatic.com, appnexus.com, openx.com, smartadserver.com, lijit.com, sharethrough.com, video.unrulymedia.com, google.com, yahoo.com, triplelift.com, onetag.com, sonobi.com, contextweb.com, 33across.com, indexexchange.com, media.net, themediagrid.com, adform.com, richaudience.com, sovrn.com, improvedigital.com, freewheel.tv, smaato.com, yieldmo.com, amxrtb.com, adyoulike.com, adpone.com, criteo.com, smilewanted.com, 152media.info, e-planning.net, smartyads.com, loopme.com, opera.com, mediafuse.com, betweendigital.com

How Much Does Nature.com Make? {💰}


Display Ads {🎯}

$536,300 per month
Our estimates place Nature.com's monthly online earnings from display ads at $357,503 to $983,134.

Keywords {🔍}

article, google, scholar, nature, data, singlecell, cas, methods, access, rnaseq, genome, biol, normalization, content, nat, cookies, research, privacy, bacher, chu, supplementary, information, scnorm, leng, kendziorski, sequencing, bmc, author, authors, madison, wisconsin, usa, advertising, journals, subscribe, communications, april, rhonda, lifang, michael, newton, christina, institution, portfolio, learn, buy, gene, expression, references, open,

Topics {✒️}

nature portfolio journals navigating single-cell rna-sequencing single-cell rna-seq data nature portfolio permissions reprints single-cell rna-seq normalization privacy policy gene expression states advertising social media scrna-seq data generated rna-seq data nature+ nature libraries research tools rna-seq read processing single-cell setting single-cell omics rna-seq samples author correspondence springerlink instant access permissions bmc genomics 17 org/content/early/2016/04/22/049734 privacy article bacher competing financial interests li-fang chu communication published institutional subscriptions read subscription content communications article personal data issue learn european economic area single cells morgridge institute christina kendziorski transcriptome size matters study complex biology explore content accepting optional cookies data analyses data normalization bias downstream analyses nucleic acids res journals search log nih u54 ai117924

Schema {🗺️}

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         description:SCnorm normalizes single-cell RNA-seq data for improved downstream analyses such as differential expression and cell-state discrimination. The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data.
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      description:SCnorm normalizes single-cell RNA-seq data for improved downstream analyses such as differential expression and cell-state discrimination. The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data.
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Social Networks {👍}(1)

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