Here's how COLE-TRAPNELL-LAB.GITHUB.IO makes money* and how much!

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

COLE-TRAPNELL-LAB . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Cole-trapnell-lab.github.io Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links
  10. Libraries
  11. CDN Services

We are analyzing https://cole-trapnell-lab.github.io/monocle-release/docs/.

Title:
Monocle
Description:
Monocle - A powerful software toolkit for single-cell analysis
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Science
  • Education
  • Telecommunications

Content Management System {📝}

What CMS is cole-trapnell-lab.github.io built with?

Custom-built

No common CMS systems were detected on Cole-trapnell-lab.github.io, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of cole-trapnell-lab.github.io audience?

🚄 Respectable Traffic: 10k - 20k visitors per month


Based on our best estimate, this website will receive around 10,851 visitors per month in the current month.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Cole-trapnell-lab.github.io Make Money? {💸}

We're unsure how the site profits.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Cole-trapnell-lab.github.io could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

cells, genes, monocle, cell, expression, data, gene, function, analysis, trajectory, singlecell, clustering, values, model, graph, counts, differential, ordering, single, rnaseq, pseudotime, branch, expressed, time, type, hsmm, set, celldataset, process, experiment, cluster, number, mrna, state, algorithm, object, progress, tpm, branches, experiments, functions, find, biological, transcript, plot, celltype, trajectories, embedding, based, reversed,

Topics {✒️}

$tpm_{ij} \propto \frac{y_{ij}}{\sum_{ begin{equation} \mathop{min}_{f_g begin{equation} \mathop{min}_{\mathbf{ mintree} \mathop{min}_{f_\mathcal{ ddrtree_opt} \mathop{min}_{\mathbf{ }}_b}\mathop{min}_{f_g analyzing single-cell rna-seq single-cell rna-seq experiments begin{equation} \label{eq begin{equation}\label{eq single-cell rna-seq analysis constructing single-cell trajectories performed paired-end rna-seq single-cell rna-seq process single-cell rna-seq experiment }} \mathop{min}_{\{\mathbf{ %\end{align} \end{equation} single cell rna-seq single-cell rna-seq }\quad\quad\quad\quad construct single-cell trajectories single-cell expression studies begin{equation} \hat{ highly protocol-dependent quantity single-cell mrna quantification reversed graph embedding accurate single-cell trajectories branch \end{equation} assumes } \int_{\epsilon}^{x_i^}x_{ independent y-axis ranges single-mrna genes divided high-mitogen growth medium variance-stabilization techniques introduced rna-seq experiments single cell studies low-mitogen differentiation medium single-cell mrna transcript branch-dependent gene expression mrna-count centered workflow rna-seq workflows sci-rna-seq rna-seq pipelines single-cell trajectory analysis early developmental stage single-cell trajectories identifying poor-quality libraries dimensional t-sne space linear function $f_\mathcal{ sample-sheet tells cuffnorm mapping function $f_\mathcal{

Questions {❓}

  • A common question that arises when studying time-series gene expression studies is: "which genes follow similar kinetic trends"?
  • But what about the "Unknown" cells?
  • But what if you wish to focus on cycle-independent effects in your biological process?
  • Choosing genes based on differential analysis of time points is often highly effective, but what if we don't have time series data?
  • Perhaps the cells are clustering based on the media they're cultured in?
  • What genes change as cells pass from the early developmental stage the top left of the tree through the branch?
  • What is pseudotime?

External Links {🔗}(44)

Libraries {📚}

  • Bootstrap
  • jQuery
  • Moment.js
  • Prism.js

CDN Services {📦}

  • Cloudflare
  • Rawgit

4.18s.