Evidence map›Paper›PMID 25364221›Full record

ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2014

Sparse Biclustering of Transposable Data.

Kean Ming Tan, Daniela M Witten

Abstract read
In one paragraph

Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Optimal variable clustering for high-dimensional matrix valued data.Information and inference : a journal of the IMA · 2025
    Article
  3. Robust convex biclustering with a tuning-free method.Journal of applied statistics · 2025
    Article
  4. Article
  5. Article
  6. CO-CLUSTERING OF SPATIALLY RESOLVED TRANSCRIPTOMIC DATA.The annals of applied statistics · 2023
    Article
  7. Article
  8. Article
  9. Provable Convex Co-clustering of Tensors.Journal of machine learning research : JMLR · 2020
    Article
  10. Review
  11. Article
  12. Data-Driven Tree Transforms and Metrics.IEEE transactions on signal and information processing over networks · 2018
    Article
  13. Article
  14. Article
  15. Statistical properties of convex clustering.Electronic journal of statistics
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kean Ming TanDepartment of Biostatistics, University of Washington, Seattle, WA 98115.
Daniela M WittenDepartment of Biostatistics, University of Washington, 1705 NE Pacific Street, Box 357232, F-649 Health Sciences Building, Seattle, WA 98195-7232.

Funding

High-dimensional unsupervised learning, with applications to genomicsDP5OD009145 · OD · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA · 2011 to 2015
$1.8M
NIH HHS DP5 OD009145
6 · The paper itself

Abstract

We consider the task of simultaneously clustering the rows and columns of a large transposable data matrix. We assume that the matrix elements are normally distributed with a bicluster-specific mean term and a common variance, and perform biclustering by maximizing the corresponding log likelihood. We apply an ℓ

Indexed as

ClusteringGene expressionℓ1 penaltyMatrix-variate normal distributionUnsupervised learning

Identifiers

PMID25364221
PMCPMC4212513

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.