Jmp v 6

Manufactured by SAS Institute

Sourced in United States

JMP v 6.0.0 is a statistical discovery software developed by SAS Institute. It provides data visualization and analysis tools for exploring and understanding data.

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Sas version 9, by SAS Institute (1 mentions)

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JMP 6.0 (23 citations)

4 protocols using jmp v 6

Insecticide Effectiveness on Triatomine Infestation

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The overall prevalence of infestation postintervention was estimated for domiciliary unit that were sprayed with insecticides and evaluated at least once after initial spraying. A domiciliary unit was considered infested when at least one live or moribund T. infestans bug was collected in any site. Comparisons of the performance-related variables between treatments were performed through a t test as implemented in JMP v 6.0.0 (SAS Inst., Cary, U.S.A.). Between-treatment comparisons of the abundance of bugs and house infestation were investigated via a median test and through the estimation of difference of proportions, respectively, as implemented in Infostat (Grupo InfoStat, Universidad Nacional de Córdoba. http://www.infostat.com.ar/).

Carbajal-de-la-Fuente A.L., Lencina P., Spillmann C, & Gürtler R.E. (2017). A motorized vehicle-mounted sprayer as a new tool for Chagas disease vector control. Cadernos de saude publica, 33(1).

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Congruence of Molecular Approaches

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To assess the congruence between the molecular approaches, three analyses were done. The first one consisted of an AMOVA on the AFLP and nSSR data, considering as populations those groups of individuals completely assigned to one of the BAPSinferred groups for the AFLP data. The second one estimated the correlation between diversity indexes and F IS values obtained for both markers (JMP v.6.0.0; SAS Institute Inc., 2005) . Finally, a Mantel bilateral test was applied to detect a potential correlation between AFLP-based chord and nSSR-based Reynolds' population distances (on 10 000 random permutations; XLSTAT v.2016.03.30882, Addinsoft) .

García‐Castaño J.L., Balao F., Lorenzo M.T.C., Véla E., Hadjadj-Aoul S., Mifsud S., & Terrab A. (2021). A complex genetic structure ofTetraclinis articulata(Cupressaceae) in the western Mediterranean. Botanical Journal of the Linnean Society, 197(3), 420-438.

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Longitudinal and Phosphoproteomic Analysis

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A mixed model with fixed effects for group and time and an interaction effect between group and time was used for longitudinal analyses. Post-hoc comparisons used Student’s t-tests for group comparisons and paired t-tests for change within group at each time point. SAS version 9.3 (Cary, NC) was used for analysis. Phosphoproteomic data were analyzed with the software package JMP v6 (SAS Institute, Cary, NC) that carry out internal standardization, two-way hierarchical clustering using Ward's method, and two-groups Wilcoxon rank-sum test (significance cut off p ≤ 0.05).

Ceglia I., Dueck A.C., Masiello F., Martelli F., He W., Federici G., Petricoin EF I.I.I., Zeuner A., Iancu-Rubin C., Weinberg R., Hoffman R., Mascarenhas J, & Migliaccio A.R. (2016). Pre-clinical rationale for TGF-β inhibition as a therapeutic target for the treatment of myelofibrosis. Experimental hematology, 44(12), 1138-1155.e4.

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Reverse Phase Protein Array Analysis

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RPPA were constructed and analyzed as described (28 (link)). Arrays were probed with a library of ~180 antibodies. Acquired images were analyzed with MicroVigene v5.0. (VigeneTech, Carlisle, MA) for spot detection, local background subtraction, negative control subtraction, replicate averaging and total protein normalization. The software package JMP v6 (SAS Institute, Cary, NC) was used for internal standardization, two-way hierarchical clustering using Wards method, and two-groups Wilcoxon test (significance cut off p ≤ 0.05). Data are available at http://capmm.gmu.edu/data.

Federici G., Varricchio L., Martelli F., Falchi M., Picconi O., Francescangeli F., Contavalli P., Girelli G., Tafuri A., Petricoin EF I.I.I., Mazzarini M., Zeuner A, & Migliaccio A.R. (2019). Phosphoproteomic Landscaping Identifies Non-canonical cKIT Signaling in Polycythemia Vera Erythroid Progenitors. Frontiers in Oncology, 9, 1245.

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