Center-Authored Papers
Filters: Author is Finak, Greg [Clear All Filters]
Optimizing transformations for automated, high throughput analysis of flow cytometry data.. BMC bioinformatics. 11:546. Abstract
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2010.
Gene expression profiling of microdissected breast cancer microvasculature identifies distinct tumor vascular subtypes.. Breast cancer research : BCR. 14(4):R120. Abstract
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2012.
QUAliFiER: An automated pipeline for quality assessment of gated flow cytometry data.. BMC bioinformatics. 13(1):252. Abstract
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2012.
High-throughput flow cytometry data normalization for clinical trials.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. Abstract
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2013.
Mixture models for single-cell assays with applications to vaccine studies.. Biostatistics (Oxford, England). Abstract
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2013.
Critical assessment of automated flow cytometry data analysis techniques.. Nature methods. 10(3):228-38. Abstract
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2013.
Highly multiplexed quantitation of gene expression on single cells.. Journal of immunological methods. 391(1-2):133-45. Abstract
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2013.
Modeling Bi-modality Improves Characterization of Cell Cycle on Gene Expression in Single Cells.. PLoS computational biology. 10(7):e1003696. Abstract
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2014.
Thinking outside the gate: single-cell assessments in multiple dimensions.. Immunity. 42(4):591-2.
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2015.
Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. Abstract
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2015.
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2015.
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.. Bioinformatics (Oxford, England). 31(4):606-7. Abstract
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2015.
State-of-the-Art in the Computational Analysis of Cytometry Data.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. 87(7):591-3.
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2015.
COMPASS identifies T-cell subsets correlated with clinical outcomes.. Nature biotechnology. 33(6):610-6. Abstract
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2015.
T Cell Responses against Mycobacterial Lipids and Proteins Are Poorly Correlated in South African Adolescents.. Journal of immunology (Baltimore, Md. : 1950). 195(10):4595-4603. Abstract
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2015.
A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. Abstract
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2015.
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2016.
Promises and Pitfalls of High-Throughput Biological Assays.. Methods in molecular biology (Clifton, N.J.). 1415:225-43. Abstract
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2016.
Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium.. Scientific reports. 6:20686. Abstract
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2016.
Automated analysis of flow cytometry data comes of age.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. 89(1):13-5.
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2016.
A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.. Cytometry. Part A : the journal of the International Society for Analytical Cytology. 89(1):16-21. Abstract
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2016.
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2016.
The contribution of cell cycle to heterogeneity in single-cell RNA-seq data.. Nature biotechnology. 34(6):591-3.
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2016.
Higher T cell responses induced by DNA/rAd5 HIV-1 preventive vaccine are associated with lower HIV-1 infection risk in an efficacy trial.. The Journal of infectious diseases.
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2017. Doing Business with Arnold Library
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