Phenotype Classification Using Moment Features of Single-Cell Data.

Sima C, Hua J, Bittner ML, Kim S, Dougherty ER

DOI: 10.1177/1176935118771701
Published: 2018
Container: Cancer informatics
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1177/1176935118771701,
  title = {Phenotype Classification Using Moment Features of Single-Cell Data.},
  author = {Sima C and Hua J and Bittner ML and Kim S and Dougherty ER},
  year = {2018},
  journal = {Cancer informatics},
  doi = {10.1177/1176935118771701},
  url = {https://doi.org/10.1177/1176935118771701}
}

RIS

TY  - JOUR
TI  - Phenotype Classification Using Moment Features of Single-Cell Data.
AU  - Sima C
AU  - Hua J
AU  - Bittner ML
AU  - Kim S
AU  - Dougherty ER
PY  - 2018
JO  - Cancer informatics
DO  - 10.1177/1176935118771701
UR  - https://doi.org/10.1177/1176935118771701
ER  -

APA

C, S., J, H., ML, B., S, K., & ER, D. (2018). Phenotype Classification Using Moment Features of Single-Cell Data.. Cancer informatics. https://doi.org/10.1177/1176935118771701

Source records

pubmed · retrieved 2026-09-25T06:48:23.824Z
europe-pmc · retrieved 2026-09-25T06:48:23.831Z