Nonlinear Gene Programmes

Nonlinear Gene Programmes#

đź’ˇ Tip: Click the  + in the first column to expand detailed method descriptions.

MethodYearTask ModelPublishedCode
CellDISECT 2025
Nonlinear Gene ProgrammesContrastive DisentanglementContext Transfer
VAEMixture of Experts
âś— GitHub
ContrastiveVI 2023
Nonlinear Gene ProgrammesContrastive Disentanglement
ZINB LikelihoodProtein-Count (totalVI) LikelihoodContrastive VAEMulti-modal
âś“ GitHub
ContrastiveVI+ 2024
Perturbation ResponsivenessContrastive DisentanglementNonlinear Gene Programmes
ZINB LikelihoodVAEContrastive
âś“ GitHub
DRVI 2024
Unsupervised DisentanglementNonlinear Gene Programmes
VAENB likelihoodAddative DecodersMulti-modal
âś“ GitHub
Expimap 2023
Nonlinear Gene Programmes
VAELinear DecoderNB likelihoodPK Representations
âś“ GitHub
GEASS 2023
Nonlinear Gene Programmes
Non-linear Granger CausalityStochastic Gate Layers (Feature Selectors)Time-resolved / Spatially-informed
âś“ âś—
GeneCompass 2024
Unseen Perturbation PredictionCombinatorial Effect PredictionGRN InferenceNonlinear Gene Programmes
Foundational Gene expression embeddings (from >50M human cells)Self-supervised masked regression with down-samplingSparse transformer encoderPerformer-style attention decoderPK-informed
âś“ GitHub
Hotspot 2021
Nonlinear Gene ProgrammesFeature Relationships
AutocorrelationPairwise Local Correlations
âś“ GitHub
inVAE 2024
Multi-component DisentanglementNonlinear Gene Programmes
VAENB Likelihood
âś— GitHub
MultiGroupVI 2022
Nonlinear Gene ProgrammesContrastive Disentanglement
ZINB LikelihoodVAEContrastive
âś“ GitHub
scDisInFact 2024
Contrastive DisentanglementNonlinear Gene ProgrammesSeen Perturbation PredictionCombinatorial Effect Prediction
VAENB likelihoodAdversarialGaussian Mixture Model
âś“ GitHub
scDSA 2023
Nonlinear Gene ProgrammesContrastive Disentanglement
NB likelihoodDomain-Adversarial NNsVAEAddative Shift
âś“ âś—
scFoundation 2024
Nonlinear Gene ProgrammesUnseen Perturbation PredictionCombinatorial Effect Prediction
Foundational Gene expression embeddings (from >50M human cells)Self-supervised masked regression with down-samplingSparse transformer encoderPerformer-style attention decoder
âś“ GitHub
scGenePT 2025
Unseen Perturbation PredictionCombinatorial Effect PredictionGRN InferenceNonlinear Gene Programmes
scGPTChatGPT prompts
âś— âś—
scGPT 2024
Unseen Perturbation PredictionCombinatorial Effect PredictionGRN InferenceNonlinear Gene Programmes
Foundational Gene expression embeddings (from >33M human cells)Self-supervised masked expression predictionCustomised non-sequential (flash) attention
âś“ GitHub
scPrint 2025
GRN InferenceMulti-component DisentanglementNonlinear Gene Programmes
Foundational Gene expression embeddings (from >50M human cells)BERT-like Bidirectional transformers (with flashattention2)Self-supervised masked regressionA classifier decoderZINB likelihood decoderPK Representations
âś“ GitHub
scVI 2018
Nonlinear Gene Programmes
VAEZINB likelihood
âś“ GitHub
SIMVI 2025
Nonlinear Gene ProgrammesUnsupervised Disentanglement
ZINB LikelihoodVAESpatially-informedMulti-modal
âś“ GitHub
SubCell 2024
Context TransferNonlinear Gene Programmes
A collection of Vision Transformer ModelsContrastive loss
âś— GitHub
sVAE+ 2023
Seen Perturbation PredictionMulti-component DisentanglementCausal StructureNonlinear Gene Programmes
VAENB likelihoodSparse Mechanism Shift
âś“ GitHub