Lists (32)
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Biological model
Community
Community, group and Orgnization.Computational Biology
CRAN
CV
Data Science
Evolution
Feature Engineering
Feature Engineering, data preprocessing, embedding and clustering.Gene Ontology
Generalization
Model generalization, out-of-distribution, domain adaption, domain generalizationGenome
Graph
Just for math!Interactome
Algorithms and tools for molecular interactionsLoss_optimizer
Loss function, optimizer, model training tricks and model metrics and so on.Math
ML
Machine learning ensembles from CS!multimodal
multimodal NN frameworkNetwork
Tools for biological network!NGS
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Proteomics
Resources
scRNA-seq
Sequence Analysis
Algorithms for analyzing the biological sequences, such as alignment, statistics and so on.SSL
positive-unlabeled learning, semi-supervised learning, self-supervised learningStatistics Bin
Trash bin for statistical repo.Structurome
TMP
Temporary!Tool
Tools and ML models for bioinformatics!Transcriptome
Translatome
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Starred repositories
Code repository for the SPOC tool for scoring binary AF-M predicitons.
QuickEd is a high-performance exact sequence alignment based on the bound-and-align paradigm.
Computational Framework Separating Single-Cell RNA-Seq by Genetic and Contextual Information
Code associated with "ORC-Omics (ORCO): Ollivier-Ricci curvature for unsupervised omic network analysis"
Method to find contrastive dimensions between experimental conditions
Latent Batch Effect Correction of Omics data by Nearest-Pair Matching
Genome modeling and design across all domains of life
Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch
Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
A Python Package for Convex Regression and Frontier Estimation
Interpretability methods to analyze the behavior and individual predictions of modern neural networks in R.
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…
A tidy structure for spatio-temporal vector data
Integrate Any Omics: Towards genome-wide data integration for patient stratification
RNA-seq prediction with deep convolutional neural networks.
A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.
Implementation of the proposed minGRU in Pytorch