Fig. 1: Overview of the mvTCR. | Nature Communications

Fig. 1: Overview of the mvTCR.

From: Multi-modal generative modeling for joint analysis of single-cell T cell receptor and gene expression data

Fig. 1

The mvTCR model receives a gene expression vector, along with the CDR3-α and -β amino acid sequences. This input is transformed through separate encoders, and a mixture module combines different modalities to infer a joint representation (latent space) for downstream analysis. This joint representation is then fed into separate decoders to reconstruct the original gene expression and TCR sequences for each cell.

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