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Explore sparsity in epistatic interactions to enhance fitness function modeling. Learn about Walsh-Hadamard transform, Graph Fourier transforms, and Epistatic Net for improved protein function prediction.
Explore contrastive latent variable models for analyzing differential expression in sequencing data, enhancing case-control comparisons in transcriptomics with novel approaches to capture condition-specific variations.
Explore genome harmonization techniques for deeply sequenced data, covering quality control, structural variants, and PCA analysis using cloud computing.
Explore suSIEx, a cutting-edge method for analyzing genetic data in medical and population genetics. Learn its principles, applications, and potential impact on understanding complex traits and diseases.
Explore ethical considerations in using population descriptors for genomic research. Learn from experts about the importance of thoughtful group categorization in science and society.
Explore natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing. Learn about experiment design, data quality, analysis techniques, and biological insights in single-cell genomics.
Explore groundbreaking research by emerging scientists on neurodegenerative diseases, cardiac health, infectious disease diagnosis, and rare genetic disorders.
Explore mass spectrometry-based proteomics techniques for biomarker discovery and pQTL mapping in this workshop by Lili Niu from the University of Copenhagen.
Explore deep learning models for integrating patient-level multi-omics data, focusing on supervised and unsupervised approaches for predicting outcomes and uncovering latent representations in genomics.
Explore deep learning techniques for genomic discovery, focusing on high-resolution assays, footprint shapes, and bias correction methods in neural networks.
Explore Mendelian randomization's evolution, from its genetic roots to modern applications in epidemiology. Gain insights into its capabilities, limitations, and potential future developments in phenotypic causation research.
Explore spatial copy number alteration detection in Slide-seq-like spatial transcriptomics data. Learn basic genetics principles related to human populations and disease.
Explore Type 2 diabetes prevalence in Latino populations with Dr. Jose Florez's insightful presentation on genetic and environmental factors.
Explore tissue-specific transcriptomes for drug target prioritization and disease risk prediction. Learn about TWAS, co-localization, polygenic risk scores, and phenome-wide scans in genetics research.
Explore the mechanism of protein antibiotics through the study of bacteriophage lysis proteins, focusing on Protein E's inhibition of MraY and its implications for novel therapeutic development.
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