Inna Chervoneva, Ph.D.

Affiliations: 
2003 Temple University, Philadelphia, PA, United States 
Area:
Statistics
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"Inna Chervoneva"

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Boris Iglewicz grad student 2003 Temple University
 (Semiparametric two-stage models for multi-level clustered non -Gaussian data.)
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Publications

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Yi M, Zhan T, Peck AR, et al. (2023) Selection of optimal quantile protein biomarkers based on cell-level immunohistochemistry data. Bmc Bioinformatics. 24: 298
Yi M, Zhan T, Peck AR, et al. (2023) Quantile Index Biomarkers Based on Single-Cell Expression Data. Laboratory Investigation; a Journal of Technical Methods and Pathology. 100158
Chervoneva I, Peck AR, Sun Y, et al. (2023) High PD-L2 Predicts Early Recurrence of ER-Positive Breast Cancer. Jco Precision Oncology. 7: e2100498
Hartsough EJ, Weiss MB, Heilman SA, et al. (2019) CADM1 is a TWIST1-regulated suppressor of invasion and survival. Cell Death & Disease. 10: 281
Ye Z, Wang C, Wan S, et al. (2018) Association of clinical outcomes in metastatic breast cancer patients with circulating tumour cell and circulating cell-free DNA. European Journal of Cancer (Oxford, England : 1990). 106: 133-143
Tran TH, Utama FE, Sato T, et al. (2018) Loss of nuclear localized Parathyroid Hormone-related Protein in primary breast cancer predicts poor clinical outcome and correlates with suppressed Stat5 signaling. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Chaudhary L, Peck A, Yunguang S, et al. (2018) Abstract P4-09-06: High levels of Bruton's tyrosine kinase (BTK) protein is associated with favorable outcome in breast cancer Cancer Research. 78
Morita Y, Zhang R, Leslie M, et al. (2017) Pathologic evaluation of tumor-associated macrophage density and vessel inflammation in invasive breast carcinomas. Oncology Letters. 14: 2111-2118
Chervoneva I, Freydin B, Hyslop T, et al. (2017) Modeling qRT-PCR dynamics with application to cancer biomarker quantification. Statistical Methods in Medical Research. 962280216683204
Telonis AG, Magee R, Loher P, et al. (2017) Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types. Nucleic Acids Research
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