Co-Authors
This is a "connection" page, showing publications co-authored by MICHAEL MANCINI and PANKAJ KUMAR SINGH.
Connection Strength
1.654
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SPACe (Swift Phenotypic Analysis of Cells): an open-source, single cell analysis of Cell Painting data. bioRxiv. 2024 Mar 26.
Score: 0.239
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Characterization of flavonoids with potent and subtype-selective actions on estrogen receptors alpha and beta. iScience. 2024 Mar 15; 27(3):109275.
Score: 0.238
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High throughput microscopy and single cell phenotypic image-based analysis in toxicology and drug discovery. Biochem Pharmacol. 2023 Oct; 216:115770.
Score: 0.230
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Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression. Environ Health Perspect. 2022 02; 130(2):27008.
Score: 0.207
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Endocrine disrupting chemicals differentially alter intranuclear dynamics and transcriptional activation of estrogen receptor-a. iScience. 2021 Nov 19; 24(11):103227.
Score: 0.202
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Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH. J Vis Exp. 2020 09 20; (163).
Score: 0.188
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Single-Cell Distribution Analysis of AR Levels by High-Throughput Microscopy in Cell Models: Application for Testing Endocrine-Disrupting Chemicals. SLAS Discov. 2020 08; 25(7):684-694.
Score: 0.184
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eEF1A2 promotes PTEN-GSK3?-SCF complex-dependent degradation of Aurora kinase A and is inactivated in breast cancer. Sci Signal. 2024 03 05; 17(826):eadh4475.
Score: 0.060
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Analysis and Modeling of Early Estradiol-induced GREB1 Single Allele Gene Transcription at the Population Level. bioRxiv. 2023 Sep 01.
Score: 0.058
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Enhancer RNA m6A methylation facilitates transcriptional condensate formation and gene activation. Mol Cell. 2021 08 19; 81(16):3368-3385.e9.
Score: 0.050