Evidence map›Paper›PMID 33526945›Full record

ArticleNature biotechnology2021

Initialization is critical for preserving global data structure in both t-SNE and UMAP.

Dmitry Kobak, George C Linderman

Abstract readLetterComment
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing 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

114 citing papers in PubMed.

  1. Article
  2. Article
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  4. Correlated clustering and projection for dimensionality reduction.Machine learning: science and technology · 2026
    Article
  5. Article
  6. Article
  7. Immune Subtypes and Survival in Patients with Primary Glioma.medRxiv : the preprint server for health sciences · 2026
    Article
  8. Article
  9. Unveiling hidden intermediate states in protein folding with AI-based conditional transition clustering.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data.IEEE transactions on visualization and computer graphics · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. SEAL : Spatially-resolved Embedding Analysis with Linked Imaging Data.bioRxiv : the preprint server for biology · 2025
    Article

54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Dmitry KobakInstitute for Ophthalmic Research, University of Tübingen, Tübingen, Germany. dmitry.kobak@uni-tuebingen.de.ORCID http://orcid.org/0000-0002-5639-7209
George C LindermanApplied Mathematics Program, Yale University, New Haven, CT, USA. george.linderman@yale.edu.ORCID http://orcid.org/0000-0002-0074-0346

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
EFFICIENT METHODS FOR CALIBRATION, CLUSTERING, VISUALIZATION AND IMPUTATION OF LARGE scRNA-seq DATAR01GM131642 · NIGMS · YALE UNIVERSITY · PI KLUGER, YUVAL · 2019 to 2022
$1.6M
Efficient Methods for Imputation, Dimensionality Reduction, and Visualization of Single Cell RNA-Sequencing DataF30HG010102 · NHGRI · YALE UNIVERSITY · PI LINDERMAN, GEORGE · 2018 to 2020
$109k
NHGRI NIH HHS F30 HG010102NIGMS NIH HHS R01 GM131642NIGMS NIH HHS T32 GM007205NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsPrincipal Component Analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.