New Genialis RNA Biomarker Accurately Predicts KRAS Outcomes in Lung Cancer Patients
Poster at AACR 2024 shows Genialis™ krasID biomarkers can [...]
Genialis™ krasID: Biology-Driven Machine Learning to Personalize KRAS Inhibitor Therapy
Genialis krasID analyzes foundational aspects of KRAS biology using RNA-sequencing [...]
Genialis Enlists Two New Partners as It Assembles World’s Most Ethno-Geographically Diverse Cancer Data Sets
The addition of data from Sidra Medicine and Sapien [...]
Transcriptome analysis reveals involvement of thiopurine S-methyltransferase in oxidation-reduction processes
Abstract:Thiopurine S-methyltransferase (TPMT) is an important enzyme involved in [...]
RNA: the Future of Predictive Biomarkers
What is a Biomarker? A biomarker, short for [...]
Genialis and Debiopharm Set Up Biomarker Discovery Collaboration
Agreement allows both companies to define biomarkers within the [...]
Professional grade software — a key ingredient in cutting edge biomedical discovery | TPM podcast #34
Welcome to Talking Precision Medicine (TPM podcast) — the [...]
Normalizing RNA-seq data in Python with RNAnorm
RNA sequencing (RNA-seq) is a workhorse method for quantifying [...]
Prevalence of genomic alterations in Xerna tumor microenvironment subtypes in triple negative breast cancer patients
Abstract:This study investigates the prevalence of genomic alterations in [...]
Genialis Expands into Triple-Negative Breast Cancer Research: Insights from SABCS 2023
Breast cancer remains a challenging therapeutic area in oncology, [...]
