Uploaded October 2021 | Updated September 2026, 2 weeks ago
The amount of molecular biology datasets available are growing exponentially every month. Multiomics consist of all the layers of the molecular biome; the genome, epigenome, transcriptome, proteome, and metabolome. In this episode, we're going to learn how each of the layers of the molecular biology stack work, and then look at 3 different real world use cases for Cancer patients (diagnostic, prognostic, and predictive) using open-source python code on GitHub. Then we'll look at how a Generative Adversarial Network can be used to generate synthetic genomic data to battle imbalanced classes. Enjoy!
Big thanks to RapidAPI for sponsoring this video series:
rapidapi.com/hub?utm_source=Siraj-Raval&utm_medium=DevRel&utm_campaign=DevRel
Omics Datasets:
omicsdi.org/search
More Omics Datasets:
ncbi.nlm.nih.gov/geo/browse/?view=series&display=20&zsort=samples
Code Credits:
Example 1 (CITE-Seq autoencoder prognosis):
github.com/naity/citeseq_autoencoder
Example 2 (UMAP diagnosis):
github.com/NikolayOskolkov/UMAPDataIntegration
Example 3 (AlphaFold Protein Folding Prediction:
alphafold.ebi.ac.uk
colab.research.google.com/github/sokrypton/ColabFold/blob/main/AlphaFold2.ipynb#scrollTo=KK7X9T44pWb7
Example 4 (GAN for Genomic Data Synthesis):
github.com/Unique-Divine/GANs-for-Genomics
Generative Biome HTML:
github.com/marpi/biomes
More Learning Resources:
AlphaCare Episode 1:
youtube.com/watch?v=fGv6VmfGMLc
AlphaCare Episode 2:
youtube.com/watch?v=PrqdEJZOrWE&t=10s
AlphaFold Tutorial:
youtube.com/watch?v=GQH-zWUylPY
How I Gamify Learning:
youtube.com/watch?v=nH85q7gC8uw
Learn Machine Learning in 3 months:
youtube.com/watch?v=Cr6VqTRO1v0
Multiomics Paper 1:
ncbi.nlm.nih.gov/pmc/articles/PMC7003173
Multiomics Paper 2:
frontiersin.org/articles/10.3389/fgene.2020.610798/full
Follow me:
INSTAGRAM:
instagram.com/sirajraval
TWITTER:
twitter.com/sirajraval
FACEBOOK:
facebook.com/sirajologyyy
LINKEDIN:
linkedin.com/in/sirajraval
Please subscribe for more programming videos! That's what keeps me going. Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
The amount of molecular biology datasets available are growing exponentially every month. Multiomics consist of all the layers of the molecular biome; the genome, epigenome, transcriptome, proteome, and metabolome. In this episode, we're going to learn how each of the layers of the molecular biology stack work, and then look at 3 different real world use cases for Cancer patients (diagnostic, prognostic, and predictive) using open-source python code on GitHub. Then we'll look at how a Generative Adversarial Network can be used to generate synthetic genomic data to battle imbalanced classes. Enjoy!
Big thanks to RapidAPI for sponsoring this video series:
rapidapi.com/hub?utm_source=Siraj-Raval&utm_medium=DevRel&utm_campaign=DevRel
Omics Datasets:
omicsdi.org/search
More Omics Datasets:
ncbi.nlm.nih.gov/geo/browse/?view=series&display=20&zsort=samples
Code Credits:
Example 1 (CITE-Seq autoencoder prognosis):
github.com/naity/citeseq_autoencoder
Example 2 (UMAP diagnosis):
github.com/NikolayOskolkov/UMAPDataIntegration
Example 3 (AlphaFold Protein Folding Prediction:
alphafold.ebi.ac.uk
colab.research.google.com/github/sokrypton/ColabFold/blob/main/AlphaFold2.ipynb#scrollTo=KK7X9T44pWb7
Example 4 (GAN for Genomic Data Synthesis):
github.com/Unique-Divine/GANs-for-Genomics
Generative Biome HTML:
github.com/marpi/biomes
More Learning Resources:
AlphaCare Episode 1:
youtube.com/watch?v=fGv6VmfGMLc
AlphaCare Episode 2:
youtube.com/watch?v=PrqdEJZOrWE&t=10s
AlphaFold Tutorial:
youtube.com/watch?v=GQH-zWUylPY
How I Gamify Learning:
youtube.com/watch?v=nH85q7gC8uw
Learn Machine Learning in 3 months:
youtube.com/watch?v=Cr6VqTRO1v0
Multiomics Paper 1:
ncbi.nlm.nih.gov/pmc/articles/PMC7003173
Multiomics Paper 2:
frontiersin.org/articles/10.3389/fgene.2020.610798/full
Follow me:
INSTAGRAM:
instagram.com/sirajraval
TWITTER:
twitter.com/sirajraval
FACEBOOK:
facebook.com/sirajologyyy
LINKEDIN:
linkedin.com/in/sirajraval
Please subscribe for more programming videos! That's what keeps me going. Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
