#-supreme-cellcarta-card-grid-20-195{cards-data:[{"image_url":"https://cellcarta.com/wp-content/uploads/2026/07/Predict-with-RNAseq-infobox.jpg","image_alt":"","stamp":"Case Study ","title":"Predict with RNAseq","description":"CellCarta developed the RNA-Seq Bio-IT model that extracts information on eTMB,MSI,tumor infiltrating lymphocytes (TILs),and immune gene signatures using only RNAseq data. This model accurately predicts patient response to immune checkpoint inhibition therapy without using a multiomics approach.","stat_1_value":"","stat_1_label":"","stat_2_value":"","stat_2_label":"","stat_3_value":"","stat_3_label":"","button_text":"Learn More","button_url":"/science-hub/accurately-predict-immune-checkpoint-inhibition-response-using-only-rna-seq-data/"},{"image_url":"https://cellcarta.com/wp-content/uploads/2026/07/AI-Powered-Spatial-Analysis-infobox.jpg","image_alt":"","stamp":"Case Study","title":"AI-Powered Spatial Analysis ","description":"CellCarta performed a comparative analysis of the immune profiles of carcinoma samples when evaluated by the AI-powered Lunit SCOPE IO platform or manually by pathologists. 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","button_text":"Explore Bioinformatics Services","button_url":"/clinical-trial-services/ai-data-analytics/bioinformatics-biostatistics/","button_target":"_self"},{"image":"https://cellcarta.com/wp-content/uploads/2026/06/Genomic-Data-Analysis-hero.jpg","image_alt":"","title":"Genomic Data Analysis","description":"Validated,scalable analysis pipelines with outputs designed for regulatory submission. ","button_text":"Explore Genomic Data Analysis","button_url":"/capabilities/genomics/genomic-data-analysis-services/","button_target":""},{"image":"https://cellcarta.com/wp-content/uploads/2026/06/CellEngine®-Software-Hero-155.jpg","image_alt":"","title":"CellEngine® Software ","description":"Exceptional flow cytometry analysis with supervised autogating and advanced capabilities. ","button_text":"Explore Our CellEngine Software","button_url":"/clinical-trial-services/ai-data-analytics/cellengine-cytometry-software/","button_target":""}];oxy-supreme-cellcarta-challenge-blocks-data:[{"image":"https://cellcarta.com/wp-content/uploads/2026/06/Bioinformatics-Services-Hero-166.jpg","image_alt":"","title":"Bioinformatics Services ","description":"Powerful sample analysis with standard or customized reporting that aligns to your study. ","button_text":"Explore Bioinformatics Services","button_url":"/clinical-trial-services/ai-data-analytics/bioinformatics-biostatistics/","button_target":"_self"},{"image":"https://cellcarta.com/wp-content/uploads/2026/06/Genomic-Data-Analysis-hero.jpg","image_alt":"","title":"Genomic Data Analysis","description":"Validated,scalable analysis pipelines with outputs designed for regulatory submission. 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","faq_answer":"<p>Our <a href=\"../../capabilities/genomics/genomic-data-analysis-services/\" target=\"_self\">genomic data analysis</a> service has developed bio-IT pipelines for gene expression (e.g.,<a href=\"../../capabilities/genomics/sequencing-services/rnaseq/\" target=\"_self\">RNA sequencing</a> and NanoString nCounter),<a href=\"../../capabilities/genomics/qpcr-services/\" target=\"_self\">quantitative PCR</a> and <a href=\"../../capabilities/genomics/digital-pcr-services/\" target=\"_self\">digital PCR</a> datasets,whole genome and whole exome sequencing,<a href=\"../../capabilities/genomics/sequencing-services/single-cell-sequencing/\" target=\"_self\">single-cell sequencing</a> analysis,and <a href=\"../../capabilities/histopathology/spatial-biology/\" target=\"_self\">spatial biology</a> datasets. Standard processing and custom analysis are both available,and data transfer can be tailored to project-specific needs using AWS S3,SFTP,or proprietary platforms.</p>\n<div id=\"gtx-trans\" style=\"position:absolute;left:156px;top:-15px;\">\n<div class=\"gtx-trans-icon\">&nbsp;</div>\n</div>"},{"faq_question":"What is CellEngine?","faq_answer":"<p><span class=\"TextRun Highlight SCXW52113286 BCX0\" lang=\"EN\" xml:lang=\"EN\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW52113286 BCX0\">CellEngine</span><span class=\"NormalTextRun SCXW52113286 BCX0\">&reg;is&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">CellCarta's</span><span class=\"NormalTextRun SCXW52113286 BCX0\">&nbsp;proprietary cytometry analysis software,used to power global flow cytometry analysis services. It is available as&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">part of our&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">bioanalytical</span><span class=\"NormalTextRun SCXW52113286 BCX0\">&nbsp;workflow or as&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">a&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">SaaS</span><span class=\"NormalTextRun SCXW52113286 BCX0\">&nbsp;platform,allowing clients to analyze their FCS files independently.&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">CellEngine</span><span class=\"NormalTextRun SCXW52113286 BCX0\">&reg;is compatible with FCS files from more than 45 cytometers and is&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">validated</span><span class=\"NormalTextRun SCXW52113286 BCX0\">&nbsp;for use in 21 CFR 11-compliant environments.&nbsp;</span><span class=\"NormalTextRun SCXW52113286 BCX0\">Furthermore,</span><span class=\"NormalTextRun SCXW52113286 BCX0\"> API toolkits in R and Python support integration with LIMS,ELN,and EMR systems.</span></span></p>"},{"faq_question":"How does CellCarta approach bioinformatics reporting?","faq_answer":"<p><span class=\"NormalTextRun SCXW3247041 BCX0\">CellCarta</span><span class=\"NormalTextRun SCXW3247041 BCX0\">&nbsp;provides both standard and customized reports,&nbsp;</span><span class=\"NormalTextRun SCXW3247041 BCX0\">determined</span><span class=\"NormalTextRun SCXW3247041 BCX0\">&nbsp;by study design and the statistical analysis plan. Customized reports can include ratios,basic normalization,and biological interpretation to accelerate understanding of complex datasets. The bioinformatics and biostatistics team employs exploratory data analysis to identify outliers and patterns,normalization to remove sample processing bias,expression analysis to assess relationships between clinical variables and expression levels,visualization tools such as heatmaps for context and interpretation,machine learning for biomarker classification and predictive panel design,clustering to improve patient grouping,and pathway analysis to understand mechanisms of action.</span></p>\n<p><span class=\"NormalTextRun SCXW3247041 BCX0\"><span class=\"NormalTextRun SCXW6152774 BCX0\">See our&nbsp;</span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW6152774 BCX0\"><a href=\"bioinformatics-biostatistics\" target=\"_self\">bioinformatics services</a>&nbsp;</span><span class=\"NormalTextRun CommentHighlightPipeRest SCXW6152774 BCX0\">to learn more.</span></span></p>"}]}#-supreme-cellcarta-featured-resources-8-168{cards-data:[{"image_url":"\/wp-content\/uploads\/2026\/05\/webinar.jpg","card_type":"Webinar","date":"Feb 12","reading_time":"Reading Time - 5 minutes","title":"Resources Title Goes Here","description":"Lorem ipsum dolor sit amet,consectetuer adipiscing elit. 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