Kristina Urena Hdz·Oct 6Integration Approaches in Multi-Omics Machine Learning Workflows — A Case Study on Malignant…Multi-omics data integration strategies combine distinct molecular layers — genomics, transcriptomics, epigenomics, proteomics, and…A response icon2A response icon2
Kristina Urena Hdz·Sep 27Data Types and Sources in Omics Workflows — A Generalization Perspective on Malignant Hyperthermia…Data modality determines feature dimensionality, temporal stability, and preprocessing requirements — each of which directly conditions a…
Manjushri A·May 13Learning Single-Cell Transcriptomics Through Brain Organoids, Biological Ambiguity, and Public…#cell_biology #molecular_biology #organoid #omicstudies
InBootcampbyDearly Debbie·Jul 14, 2025Decoding the Epigenetic Symphony: Introduction to TranscriptomicsGenes are like instruments in an orchestra — transcriptomics is the recording that tells us which ones are playing, how loudly, and in…
Aayush Ojha·Jul 8, 2025Exploring transcriptomic analysis of cancersHow are two related cancers different at the gene expression level?
Ihona Maria·Jan 28, 2025Gene Expression Analysis with RstudioThis article will guide you through an exciting journey that reveals the genetic changes in the mammary gland of mice during different…
David Guardamino-Ojeda·Dec 23, 2024Pre-Filtering in DESeq2: What to choose?The choice between the two filtering methods depends on the specific goals of your pre-filtering stage and the nature of your dataset…
Cyrille M. N.·May 6, 2024A Comprehensive RNA-Seq Upstream Pipeline in Bash with FastQC, MultiQC, Trimomatic, HISAT2…With the advent of next-generation sequencing technology, biological data proliferation has soared dramatically. This surge encompasses…
