Parvin B - Search Results

1

Influence of Simulated Microgravity on Mammary Epithelial Cells Grown as 2D and 3D Cultures.

Winkelmaier G, Jabbari K, Chien LC, Grabham P, Parvin B, Pluth J. Winkelmaier G, et al. Among authors: parvin b. Int J Mol Sci. 2023 Apr 20;24(8):7615. doi: 10.3390/ijms24087615. Int J Mol Sci. 2023. PMID: 37108776 Free PMC article.

2

Sparse multitask regression for identifying common mechanism of response to therapeutic targets.

Zhang K, Gray JW, Parvin B. Zhang K, et al. Among authors: parvin b. Bioinformatics. 2010 Jun 15;26(12):i97-105. doi: 10.1093/bioinformatics/btq181. Bioinformatics. 2010. PMID: 20529943 Free PMC article.

3

A molecular method for the delivery of small molecules and proteins across the cell wall of algae using molecular transporters.

Hyman JM, Geihe EI, Trantow BM, Parvin B, Wender PA. Hyman JM, et al. Among authors: parvin b. Proc Natl Acad Sci U S A. 2012 Aug 14;109(33):13225-30. doi: 10.1073/pnas.1202509109. Epub 2012 Jul 30. Proc Natl Acad Sci U S A. 2012. PMID: 22847404 Free PMC article.

4

Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes.

Khoshdeli M, Winkelmaier G, Parvin B. Khoshdeli M, et al. Among authors: parvin b. BMC Bioinformatics. 2018 Aug 7;19(1):294. doi: 10.1186/s12859-018-2285-0. BMC Bioinformatics. 2018. PMID: 30086715 Free PMC article.

5

Deep fusion of contextual and object-based representations for delineation of multiple nuclear phenotypes.

Khoshdeli M, Winkelmaier G, Parvin B. Khoshdeli M, et al. Among authors: parvin b. Bioinformatics. 2019 Nov 1;35(22):4860-4861. doi: 10.1093/bioinformatics/btz430. Bioinformatics. 2019. PMID: 31135022 Free PMC article.

6

YY1 is a cis-regulator in the organoid models of high mammographic density.

Cheng Q, Khoshdeli M, Ferguson BS, Jabbari K, Zang C, Parvin B. Cheng Q, et al. Among authors: parvin b. Bioinformatics. 2020 Mar 1;36(6):1663-1667. doi: 10.1093/bioinformatics/btz812. Bioinformatics. 2020. PMID: 31688895 Free PMC article.

7

Overexpression of CD36 in mammary fibroblasts suppresses colony growth in breast cancer cell lines.

Cheng Q, Jabbari K, Winkelmaier G, Andersen C, Yaswen P, Khoshdeli M, Parvin B. Cheng Q, et al. Among authors: parvin b. Biochem Biophys Res Commun. 2020 May 21;526(1):41-47. doi: 10.1016/j.bbrc.2020.03.061. Epub 2020 Mar 16. Biochem Biophys Res Commun. 2020. PMID: 32192771 Free PMC article.

8

An enhanced loss function simplifies the deep learning model for characterizing the 3D organoid models.

Winkelmaier G, Parvin B. Winkelmaier G, et al. Among authors: parvin b. Bioinformatics. 2021 Sep 29;37(18):3084-3085. doi: 10.1093/bioinformatics/btab120. Bioinformatics. 2021. PMID: 33620423 Free PMC article.

9

Protein Ligands in the Secretome of CD36⁺ Fibroblasts Induce Growth Suppression in a Subset of Breast Cancer Cell Lines.

Jabbari K, Winkelmaier G, Andersen C, Yaswen P, Quilici D, Furuta S, Cheng Q, Parvin B. Jabbari K, et al. Among authors: parvin b. Cancers (Basel). 2021 Sep 8;13(18):4521. doi: 10.3390/cancers13184521. Cancers (Basel). 2021. PMID: 34572749 Free PMC article.

10

CD36⁺ Fibroblasts Secrete Protein Ligands That Growth-Suppress Triple-Negative Breast Cancer Cells While Elevating Adipogenic Markers for a Model of Cancer-Associated Fibroblast.

Jabbari K, Cheng Q, Winkelmaier G, Furuta S, Parvin B. Jabbari K, et al. Among authors: parvin b. Int J Mol Sci. 2022 Oct 22;23(21):12744. doi: 10.3390/ijms232112744. Int J Mol Sci. 2022. PMID: 36361532 Free PMC article.

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