Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space
Fuente:
arXiv
Saved in:
| Main Authors: | Qin, Jason, Wessels, Hans-Hermann, Fernandez-Granda, Carlos, Hao, Yuhan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks
by: Kim, Jong Hyun, et al.
Published: (2024)
by: Kim, Jong Hyun, et al.
Published: (2024)
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
by: Chen, Yanshuo, et al.
Published: (2024)
by: Chen, Yanshuo, et al.
Published: (2024)
Fast, memory-efficient genomic interval tokenizers for modern machine learning
by: LeRoy, Nathan J., et al.
Published: (2025)
by: LeRoy, Nathan J., et al.
Published: (2025)
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing
by: Petti, Samantha, et al.
Published: (2025)
by: Petti, Samantha, et al.
Published: (2025)
Season combinatorial intervention predictions with Salt & Peper
by: Gaudelet, Thomas, et al.
Published: (2024)
by: Gaudelet, Thomas, et al.
Published: (2024)
Identifying multi-omics interactions for lung cancer drug targets discovery using Kernel Machine Regression
by: Ahmed, Md. Imtyaz, et al.
Published: (2025)
by: Ahmed, Md. Imtyaz, et al.
Published: (2025)
SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
by: Aghaieabiane, Niloofar, et al.
Published: (2022)
by: Aghaieabiane, Niloofar, et al.
Published: (2022)
Brain-wide interpolation and conditioning of gene expression in the human brain using Implicit Neural Representations
by: Yu, Xizheng, et al.
Published: (2025)
by: Yu, Xizheng, et al.
Published: (2025)
Hierarchical novel class discovery for single-cell transcriptomic profiles
by: Senoussi, Malek, et al.
Published: (2024)
by: Senoussi, Malek, et al.
Published: (2024)
Interpretable deep learning in single-cell omics
by: Wagle, Manoj M, et al.
Published: (2024)
by: Wagle, Manoj M, et al.
Published: (2024)
DLSOM: A Deep learning-based strategy for liver cancer subtyping
by: Zamio, Fabio
Published: (2024)
by: Zamio, Fabio
Published: (2024)
Machine and deep learning methods for predicting 3D genome organization
by: Wall, Brydon P. G., et al.
Published: (2024)
by: Wall, Brydon P. G., et al.
Published: (2024)
Supervised machine learning for microbiomics: bridging the gap between current and best practices
by: Dudek, Natasha K., et al.
Published: (2024)
by: Dudek, Natasha K., et al.
Published: (2024)
LaCoGSEA: Unsupervised deep learning for pathway analysis via latent correlation
by: Zheng, Zhiwei, et al.
Published: (2026)
by: Zheng, Zhiwei, et al.
Published: (2026)
Primer C-VAE: An interpretable deep learning primer design method to detect emerging virus variants
by: Wang, Hanyu, et al.
Published: (2025)
by: Wang, Hanyu, et al.
Published: (2025)
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
by: Tahir, Muhammad, et al.
Published: (2025)
by: Tahir, Muhammad, et al.
Published: (2025)
Machine learning applied to omics data
by: Calviño, Aida, et al.
Published: (2024)
by: Calviño, Aida, et al.
Published: (2024)
Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2
by: Hatami, Parisa, et al.
Published: (2024)
by: Hatami, Parisa, et al.
Published: (2024)
Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates
by: Rezapour, Mostafa, et al.
Published: (2024)
by: Rezapour, Mostafa, et al.
Published: (2024)
Long-range gene expression prediction with token alignment of large language model
by: Honig, Edouardo, et al.
Published: (2024)
by: Honig, Edouardo, et al.
Published: (2024)
Predicting loss-of-function impact of genetic mutations: a machine learning approach
by: Kaur, Arshmeet, et al.
Published: (2024)
by: Kaur, Arshmeet, et al.
Published: (2024)
A Phylogenetic Approach to Genomic Language Modeling
by: Albors, Carlos, et al.
Published: (2025)
by: Albors, Carlos, et al.
Published: (2025)
Modeling variable guide efficiency in pooled CRISPR screens with ContrastiveVI+
by: Weinberger, Ethan, et al.
Published: (2024)
by: Weinberger, Ethan, et al.
Published: (2024)
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
by: Song, Yuxuan, et al.
Published: (2025)
by: Song, Yuxuan, et al.
Published: (2025)
Generalized promotion time cure model: A new modeling framework to identify cell-type-specific genes and improve survival prognosis
by: Zhao, Zhi, et al.
Published: (2025)
by: Zhao, Zhi, et al.
Published: (2025)
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes
by: Qin, Lina, et al.
Published: (2025)
by: Qin, Lina, et al.
Published: (2025)
A step toward a reinforcement learning de novo genome assembler
by: Padovani, Kleber, et al.
Published: (2021)
by: Padovani, Kleber, et al.
Published: (2021)
MLOmics: Cancer Multi-Omics Database for Machine Learning
by: Yang, Ziwei, et al.
Published: (2024)
by: Yang, Ziwei, et al.
Published: (2024)
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
by: Patel, Aman, et al.
Published: (2024)
by: Patel, Aman, et al.
Published: (2024)
Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles
by: Gadd, Charles, et al.
Published: (2024)
by: Gadd, Charles, et al.
Published: (2024)
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models
by: Liu, Zicheng, et al.
Published: (2024)
by: Liu, Zicheng, et al.
Published: (2024)
LoRA-BERT: a Natural Language Processing Model for Robust and Accurate Prediction of long non-coding RNAs
by: Jeon, Nicholas, et al.
Published: (2024)
by: Jeon, Nicholas, et al.
Published: (2024)
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
by: Wu, Yan, et al.
Published: (2024)
by: Wu, Yan, et al.
Published: (2024)
UnPaSt: unsupervised patient stratification by biclustering of omics data
by: Hartung, Michael, et al.
Published: (2024)
by: Hartung, Michael, et al.
Published: (2024)
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
by: Schiff, Yair, et al.
Published: (2024)
by: Schiff, Yair, et al.
Published: (2024)
A Misclassification Network-Based Method for Comparative Genomic Analysis
by: He, Wan, et al.
Published: (2024)
by: He, Wan, et al.
Published: (2024)
DNA Sequence Classification with Compressors
by: Ozan, Şükrü
Published: (2024)
by: Ozan, Şükrü
Published: (2024)
sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures
by: Demir, Andac, et al.
Published: (2024)
by: Demir, Andac, et al.
Published: (2024)
Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis
by: Shi, Xinyuan, et al.
Published: (2024)
by: Shi, Xinyuan, et al.
Published: (2024)
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
by: Tsuruta, Hirofumi, et al.
Published: (2024)
by: Tsuruta, Hirofumi, et al.
Published: (2024)
Similar Items
-
Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks
by: Kim, Jong Hyun, et al.
Published: (2024) -
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
by: Chen, Yanshuo, et al.
Published: (2024) -
Fast, memory-efficient genomic interval tokenizers for modern machine learning
by: LeRoy, Nathan J., et al.
Published: (2025) -
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing
by: Petti, Samantha, et al.
Published: (2025) -
Season combinatorial intervention predictions with Salt & Peper
by: Gaudelet, Thomas, et al.
Published: (2024)