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Connection

Maura Gasparetto to Cell Separation

This is a "connection" page, showing publications Maura Gasparetto has written about Cell Separation.

 
Connection Strength
 
 
 
0.198
 
  1. Kent DG, Copley MR, Benz C, W?hrer S, Dykstra BJ, Ma E, Cheyne J, Zhao Y, Bowie MB, Zhao Y, Gasparetto M, Delaney A, Smith C, Marra M, Eaves CJ. Prospective isolation and molecular characterization of hematopoietic stem cells with durable self-renewal potential. Blood. 2009 Jun 18; 113(25):6342-50.
    View in: PubMed
    Score: 0.077
  2. Le Meur N, Rossini A, Gasparetto M, Smith C, Brinkman RR, Gentleman R. Data quality assessment of ungated flow cytometry data in high throughput experiments. Cytometry A. 2007 Jun; 71(6):393-403.
    View in: PubMed
    Score: 0.068
  3. Sekulovic S, Gasparetto M, Lecault V, Hoesli CA, Kent DG, Rosten P, Wan A, Brookes C, Hansen CL, Piret JM, Smith C, Eaves CJ, Humphries RK. Ontogeny stage-independent and high-level clonal expansion in vitro of mouse hematopoietic stem cells stimulated by an engineered NUP98-HOX fusion transcription factor. Blood. 2011 Oct 20; 118(16):4366-76.
    View in: PubMed
    Score: 0.023
  4. Lee JA, Spidlen J, Boyce K, Cai J, Crosbie N, Dalphin M, Furlong J, Gasparetto M, Goldberg M, Goralczyk EM, Hyun B, Jansen K, Kollmann T, Kong M, Leif R, McWeeney S, Moloshok TD, Moore W, Nolan G, Nolan J, Nikolich-Zugich J, Parrish D, Purcell B, Qian Y, Selvaraj B, Smith C, Tchuvatkina O, Wertheimer A, Wilkinson P, Wilson C, Wood J, Zigon R, Scheuermann RH, Brinkman RR. MIFlowCyt: the minimum information about a Flow Cytometry Experiment. Cytometry A. 2008 Oct; 73(10):926-30.
    View in: PubMed
    Score: 0.019
  5. Gasparetto C, Gasparetto M, Morse M, Rooney B, Vredenburgh JJ, Long GD, Rizzieri DA, Loftis J, Chao NJ, Smith C. Mobilization of dendritic cells from patients with breast cancer into peripheral blood stem cell leukapheresis samples using Flt-3-Ligand and G-CSF or GM-CSF. Cytokine. 2002 Apr 07; 18(1):8-19.
    View in: PubMed
    Score: 0.012
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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