adding MAMMAL details (#86)

* adding MAMMAL details * keeping the change only in the _data part * ... * adding - on empty fields --------- Co-authored-by: yoels <[email protected]>
theislab · Feb 14, 2025 · e383b04 · e383b04
1 parent 77b21a5
commit e383b04
Showing 1 changed file with 17 additions and 0 deletions.
diff --git a/_data/single-cell-transformers.yml b/_data/single-cell-transformers.yml
@@ -84,6 +84,23 @@
   ssl_tasks: '-'
   supervised_tasks: '-'
 
+
+- model: MAMMAL
+  paper:
+    type: preprint
+    text: '[Shoshan et al. 2024](https://arxiv.org/abs/2410.22367)'
+    url: https://arxiv.org/abs/2410.22367
+  code:
+    type: reproducible
+    text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/BiomedSciAI/biomed-multi-alignment)"
+    url: https://github.com/BiomedSciAI/biomed-multi-alignment
+  omic_modalities: bulk/scRNA-seq, amino acid sequences, SMILES molecule sequences
+  pre_training_dataset: CellXGene Human
+  input_embedding: '-'
+  architecture: T5 Encoder-Decoder
+  ssl_tasks: Expression-ranked gene masking (CELLxGENE Human), Protein LM (Uniref90), Antibody LM (OAS), Antibody Denoising (OAS), Small-Molecule LM (ZINC), Protein Interaction LM (STRING)
+  supervised_tasks: Cell type annotation (zheng68k), Cancer drug response prediction (GDSC1/2/3), Brain Blood Barrier Penetration prediction (MoleculeNet), Small-Molecule toxicity prediction (MoleculeNet), drug clinical trial result prediction (MoleculeNet), Antibody-Antigen binding prediction (HER2), Targeted antibody generation (SAbDAb), Protein-Protein delta-delta G  prediction (SKEMPI v2), Drug-Target interaction prediction (PEER), TCR binding prediction (Weber et al)  
+
 - model: Nicheformer
   paper:
     type: peer_reviewed