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MedCalc Software Ltd qbase+ statistical software
Qbase+ Statistical Software, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/qbase+++software/qbase++statistical+software/pmc11191509-161-0-5
Average 90 stars, based on 1 article reviews
qbase+ statistical software - by Bioz Stars, 2026-09
90/100 stars

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Software:

Article Title: The overexpressed microRNAs miRs-182, 155, 493, 454 and U6 snRNA, and underexpressed let-7c, miR-328 and miR-451a as potential biomarkers in invasive breast cancer and their clinicopathological significance.
Article Snippet: qbase+ [18,19] and MedCalc statistical software (Belgium) were used to analyze the expression data (logtransformed CNRQ data exported from qbase+ were used in MedCalc).

Article Title: Long non-coding RNAs PTENP1, GNG12-AS1, MAGI2-AS3 and MEG3 as tumor suppressors in breast cancer and their associations with clinicopathological parameters
Article Snippet: qbase+ [ , ] and MedCalc statistical software (Belgium) were used to analyze the expression data (log-transformed CNRQ data exported from qbase+ was used in MedCalc).

Article Title: The Overexpressed MicroRNAs miRs-182, 155, 493, 454, and U6 snRNA and Underexpressed let-7c, miR-328, and miR-451a as Potential Biomarkers in Invasive Breast Cancer and Their Clinicopathological Significance
Article Snippet: qbase+ [ , ] and MedCalc statistical software (Belgium) were used to analyze the expression data (log-transformed CNRQ data exported from qbase+ were used in MedCalc).

Article Title: Ascites-Derived Extracellular microRNAs as Potential Biomarkers for Ovarian Cancer
Article Snippet: Statistical Analyses Expression data (log-transformed) were analyzed using qbase+ 17 and MedCalc statistical software, version 18.2.1, (bvba, Ostend, Belgium).

Article Title: Small non-coding RNA profiling in breast cancer: plasma U6 snRNA, miR-451a and miR-548b-5p as novel diagnostic and prognostic biomarkers.
Article Snippet: Background Breast cancer is a leading cause of cancer-related death in women.. Most cases are invasive ductal carcinomas of no special type (NST breast carcinomas).. Methods and Results In this prospective, multicentric biomarker discovery study, we analyzed the expression of small noncoding RNAs (mainly microRNAs) in plasma by qPCR and evaluated their association with NST breast cancer.

Article Title: Human Endogenous Retroviruses in Breast Cancer: Altered Expression Pattern Implicates Divergent Roles in Carcinogenesis
Article Snippet: qbase+ [ , ] and MedCalc statistical software (Belgium) were used to analyze the expression data (log-transformed calibrated normalized relative quantity data exported from qbase+ were used in MedCalc).

Expressing:

Article Title: The overexpressed microRNAs miRs-182, 155, 493, 454 and U6 snRNA, and underexpressed let-7c, miR-328 and miR-451a as potential biomarkers in invasive breast cancer and their clinicopathological significance.
Article Snippet: qbase+ [18,19] and MedCalc statistical software (Belgium) were used to analyze the expression data (logtransformed CNRQ data exported from qbase+ were used in MedCalc).

Article Title: Long non-coding RNAs PTENP1, GNG12-AS1, MAGI2-AS3 and MEG3 as tumor suppressors in breast cancer and their associations with clinicopathological parameters
Article Snippet: qbase+ [ , ] and MedCalc statistical software (Belgium) were used to analyze the expression data (log-transformed CNRQ data exported from qbase+ was used in MedCalc).

Article Title: The Overexpressed MicroRNAs miRs-182, 155, 493, 454, and U6 snRNA and Underexpressed let-7c, miR-328, and miR-451a as Potential Biomarkers in Invasive Breast Cancer and Their Clinicopathological Significance
Article Snippet: qbase+ [ , ] and MedCalc statistical software (Belgium) were used to analyze the expression data (log-transformed CNRQ data exported from qbase+ were used in MedCalc).

Article Title: Ascites-Derived Extracellular microRNAs as Potential Biomarkers for Ovarian Cancer
Article Snippet: Statistical Analyses Expression data (log-transformed) were analyzed using qbase+ 17 and MedCalc statistical software, version 18.2.1, (bvba, Ostend, Belgium).

Article Title: Small non-coding RNA profiling in breast cancer: plasma U6 snRNA, miR-451a and miR-548b-5p as novel diagnostic and prognostic biomarkers.
Article Snippet: Background Breast cancer is a leading cause of cancer-related death in women.. Most cases are invasive ductal carcinomas of no special type (NST breast carcinomas).. Methods and Results In this prospective, multicentric biomarker discovery study, we analyzed the expression of small noncoding RNAs (mainly microRNAs) in plasma by qPCR and evaluated their association with NST breast cancer.

Article Title: Human Endogenous Retroviruses in Breast Cancer: Altered Expression Pattern Implicates Divergent Roles in Carcinogenesis
Article Snippet: qbase+ [ , ] and MedCalc statistical software (Belgium) were used to analyze the expression data (log-transformed calibrated normalized relative quantity data exported from qbase+ were used in MedCalc).



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