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JMP® 스크린샷 갤러리
이 스크린샷수집은 JMP 제품군의 각 제품에서 제공되는 기능 및 샘플을 공개합니다.
The Nonlinear platform can fit curved data without the need to pre-impute a formula or starting values. Simply select from one of the models in a rich library, which includes popular bioassay or pharmacokinetic models, and data is fit automatically.
핏 곡선 (비선형 플랫폼)
Send data to MATLAB, execute code and return data to JMP for visualization and analysis. The interface lets JMP seamlessly integrate with MATLAB to extend JMP further for even greater analytic power and flexibility.
A Hierarchical Cluster report with two-way clustering identifies relationships between individual subjects and the events, findings and interventions included in the safety analyses for the study.
The industry-standard Hy’s Law display in JMP Clinical is interactive for selection of subjects. A dashboard containing a scatterplot matrix of transaminases and bilirubin; mosaic plot of days until bilirubin elevation and missing lab tests report tab.
HY 법칙 대시보드
Use paired RNA expression and DNA hybridization data to screen for indications of allele-specific expression with the new Allele Specific Expression Filter process. Examine a summary volcano plot, then drill down to display detailed information for specific SNPs.
대립유전자 특정 표현 필터 프로세스
Overlay continuous variables such as p-values, intensities, counts or fold changes on simple and complex genomes to identify interesting regions, then drill down to view detailed statistical results and tracks.
Significant enhancements to copy number partitioning let users display segment means, shade segments relative to a referencevalue, and filter results to display segmentsthat meet a pre-specified cutoff.
복사 번호 분할
Overlay continuous variables such as p-values, intensities, counts or fold changes on simple and complex genomes, with the option to display single chromosomes as circular. Identify interesting regions, then drill down to view detailed results and tracks.
단일 염색체를 단수로 표시
Create, compress, and incorporate genetic distance matrices into association tests that simultaneously correct for relatedness and population structure. Distance matrices may also be created to display relationships between continuous measures, or custom distance matrices clustered and visualized.
유전 거리 행렬
Display summaries of your statistical analyses in genome context to identify interesting regions with pre-built settings for commonly used genomes, or by creating custom genome views. Then drill down to overlay gene, histogram, SNP and heat plot tracks on statistical results. Here, p-values across a genomic region are overlaid with co-localized genes and a histogram track that summarizes raw exon-level data for two samples of particular interest.
게놈 환경에서 통계 분석 요약