Cao J - Search Results

1

Screening criteria of mRNA indicators for wound age estimation.

Du Q, Dong T, Liu Y, Zhu X, Li N, Dang L, Cao J, Jin Q, Sun J. Du Q, et al. Among authors: cao j. Forensic Sci Res. 2022 May 11;7(4):714-725. doi: 10.1080/20961790.2021.1986770. eCollection 2022. Forensic Sci Res. 2022. PMID: 36817234 Free PMC article.

2

Comparison of the serum metabolic signatures based on ¹H NMR between patients and a rat model of deep vein thrombosis.

Cao J, Jin QQ, Wang GM, Dong HL, Feng YM, Tian JS, Yun KM, Wang YY, Sun JH. Cao J, et al. Sci Rep. 2018 May 18;8(1):7837. doi: 10.1038/s41598-018-26124-x. Sci Rep. 2018. PMID: 29777128 Free PMC article.

3

Novel insights into wound age estimation: combined with "up, no change, or down" system and cosine similarity in python environment.

Dang LH, Feng N, An GS, Cao J, Du QX, Jin QQ, Huang P, Sun JH. Dang LH, et al. Among authors: cao j. Int J Legal Med. 2020 Nov;134(6):2177-2186. doi: 10.1007/s00414-020-02411-z. Epub 2020 Sep 9. Int J Legal Med. 2020. PMID: 32909067

4

Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses.

Li N, Bai RF, Li C, Dang LH, Du QX, Jin QQ, Cao J, Wang YY, Sun JH. Li N, et al. Among authors: cao j. Biosci Rep. 2021 Jan 29;41(1):BSR20203699. doi: 10.1042/BSR20203699. Biosci Rep. 2021. PMID: 33398324 Free PMC article.

5

Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats.

Ren K, Wang L, Wang L, Du Q, Cao J, Jin Q, An G, Li N, Dang L, Tian Y, Wang Y, Sun J. Ren K, et al. Among authors: cao j. Front Genet. 2021 Jun 17;12:650874. doi: 10.3389/fgene.2021.650874. eCollection 2021. Front Genet. 2021. PMID: 34220936 Free PMC article.

6

Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study.

Li N, Li C, Li D, Dang LH, Ren K, Du QX, Cao J, Jin QQ, Wang YY, Bai RF, Sun JH. Li N, et al. Among authors: cao j. PeerJ. 2021 Dec 23;9:e12709. doi: 10.7717/peerj.12709. eCollection 2021. PeerJ. 2021. PMID: 35036173 Free PMC article.

7

Estimating Postmortem Interval Using Intestinal Microbiota Diversity Based on 16S rRNA High-throughput Sequencing Technology.

Cao J, Li WJ, Wang YF, An GS, Lu XJ, DU QX, Li J, Sun JH. Cao J, et al. Fa Yi Xue Za Zhi. 2021 Oct 25;37(5):621-626. doi: 10.12116/j.issn.1004-5619.2020.400708. Fa Yi Xue Za Zhi. 2021. PMID: 35187912 Free article. Chinese, English.

8

Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia.

Cao J, Li J, Gu Z, Niu JJ, An GS, Jin QQ, Wang YY, Huang P, Sun JH. Cao J, et al. Int J Legal Med. 2023 Jan;137(1):169-180. doi: 10.1007/s00414-022-02816-y. Epub 2022 Mar 29. Int J Legal Med. 2023. PMID: 35348878

9

Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning.

Ren K, Wang L, Wang Y, An G, Du Q, Cao J, Jin Q, Yun K, Guo Z, Wang Y, Liang Q, Sun J. Ren K, et al. Among authors: cao j. Forensic Sci Int Genet. 2022 Jul;59:102722. doi: 10.1016/j.fsigen.2022.102722. Epub 2022 May 13. Forensic Sci Int Genet. 2022. PMID: 35640312

10

A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques.

Lu XJ, Li J, Wei X, Li N, Dang LH, An GS, Du QX, Jin QQ, Cao J, Wang YY, Sun JH. Lu XJ, et al. Among authors: cao j. Int J Legal Med. 2023 Jan;137(1):237-249. doi: 10.1007/s00414-022-02844-8. Epub 2022 Jun 3. Int J Legal Med. 2023. PMID: 35661238

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