Random forests for predicting species identity of forensically important blow flies (Diptera: Calliphoridae) and flesh flies (Diptera: Sarcophagidae) using geometric morphometric data: Proof of concept.

Khang, Tsung Fei; Mohd Puaad, Nur Ayuni Dayana; Teh, Ser Huy; Mohamed, Zulqarnain

Khang, Tsung Fei; Mohd Puaad, Nur Ayuni Dayana; Teh, Ser Huy; Mohamed, Zulqarnain.

Affiliation

Khang TF; Institute of Mathematical Sciences, University of Malaya, Kuala Lumpur, Malaysia.
Mohd Puaad NAD; University of Malaya Centre for Data Analytics, University of Malaya, Kuala Lumpur, Malaysia.
Teh SH; Institute of Biological Sciences, University of Malaya, Kuala Lumpur, Malaysia.
Mohamed Z; Gene Express Sdn. Bhd, Selangor, Malaysia.

J Forensic Sci ; 66(3): 960-970, 2021 May.

Article in En | MEDLINE | ID: mdl-33438785

Subject(s)

Calliphoridae/anatomy & histology; Computational Biology/methods; Sarcophagidae/anatomy & histology; Wings, Animal/anatomy & histology; Animals; Forensic Entomology; Male; Principal Component Analysis; Proof of Concept Study; Species Specificity

Key words

Sarcophagidae; calliphoridae; forensic entomology; geometric morphometrics; random forests; species identity prediction; wing shape

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wings, Animal / Computational Biology / Sarcophagidae / Calliphoridae Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: J Forensic Sci Year: 2021 Document type: Article Affiliation country: Malaysia Country of publication: United States

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