Evidence map›Paper›PMID 27153639›Full record

ArticleBioinformatics (Oxford, England)2016

gkmSVM: an R package for gapped-kmer SVM.

Mahmoud Ghandi, Morteza Mohammad-Noori, Narges Ghareghani, Dongwon Lee, Levi Garraway, Michael A Beer

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Enhancer hubs govern chromatin topology and Th17 cell identity.bioRxiv : the preprint server for biology · 2026
    Article
  5. Reprogramming of neuronal genome function and phenotype by astrocytes.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding.Interdisciplinary sciences, computational life sciences · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Combining Machine Learning and Multiplexed,bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

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

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

6 authors.

Mahmoud GhandiThe Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Morteza Mohammad-NooriSchool of Mathematics, Statistics, and Computer Science, College of Science, University of Tehran, Tehran, Iran.
Narges GhareghaniDepartment of Engineering Science, College of Engineering, University of Tehran, and Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
Dongwon LeeMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
Levi GarrawayThe Broad Institute of MIT and Harvard, Cambridge, MA, USA Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Michael A BeerMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.

Funding

SVM-based Analysis of the Fine Scale Structure of Regulatory ElementsR01HG007348 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BEER, MICHAEL A · 2013 to 2017
$2.3M
NHGRI NIH HHS R01 HG007348
6 · The paper itself

Abstract

unlabelledWe present a new R package for training gapped-kmer SVM classifiers for DNA and protein sequences. We describe an improved algorithm for kernel matrix calculation that speeds run time by about 2 to 5-fold over our original gkmSVM algorithm. This package supports several sequence kernels, including: gkmSVM, kmer-SVM, mismatch kernel and wildcard kernel. AVAILABILITY AND IMPLEMENTATION: gkmSVM package is freely available through the Comprehensive R Archive Network (CRAN), for Linux, Mac OS and Windows platforms. The C ++ implementation is available at www.beerlab.org/gkmsvm CONTACT: mghandi@gmail.com or mbeer@jhu.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareSupport Vector MachineAlgorithmsSequence Analysis, DNASequence Analysis, Protein

Identifiers

PMID27153639
PMCPMC4937197

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.