Alternatives and similar repositories for training

Users that are interested in training are comparing it to the libraries listed below

• zhou-lei5 / MRAS
  ☆14Updated 4 months ago
• ZovcIfzm / GeneBERT
  A combination of RoBERTa trained from scratch on masking histone modification patterns rather than the English language and XGBoost, pred…
  ☆13Updated 4 years ago
• biomed-AI / GraphCS
  ☆14Updated 3 years ago
• Machine-Learning-Class / Machine-learning
  欢迎来到机器学习理论与方法课程
  ☆62Updated 4 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 6 years ago
• ciortanmadalina / graph-sc
  ☆18Updated 3 years ago
• UofLBioinformatics / circDeep
  End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
  ☆24Updated 5 years ago
• DataX-JieHao / PASNet
  Pathway-based sparse deep neural network
  ☆18Updated 4 years ago
• Philyzh8 / scMGCA
  "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…
  ☆14Updated 2 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• kuanglab / single-cell-review
  ☆26Updated 6 years ago
• zpeng1989 / Cancer_Study
  癌症相关学习内容
  ☆50Updated 6 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆41Updated last year
• zpliulab / GENELink
  ☆34Updated 3 years ago
• Yixf-Education / course_Bioinformatics
  天津医科大学，生物医学工程与技术学院，《生物信息学》课程资料
  ☆40Updated 2 years ago
• Vivianstats / scImpute
  Accurate and robust imputation of scRNA-seq data
  ☆97Updated 6 years ago
• welch-lab / VeloVAE
  Deep Generative Modeling of RNA Velocity
  ☆35Updated 4 months ago
• YuLab-SMU / GeoTcgaData
  Processed rna-seq data, copy number variation data, and methylation data on GEO and TCGA
  ☆28Updated 2 years ago
• yollct / spycone
  Splicing-aware time-course network enricher - exploratory analysis for transcriptomics and/or proteomics time series data
  ☆12Updated last year
• openproblems-bio / neurips2021-notebooks
  ☆30Updated 3 years ago
• CamaraLab / TDA-TCGA
  R package for the identification of cancer-associated mutated genes using gene expression and mutation data.
  ☆10Updated 3 years ago
• vitkl / cell2location_paper
  Cell2location paper - Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics
  ☆16Updated 2 years ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆21Updated 3 months ago
• Yixf-Education / course_Statistics_Story
  天津医科大学，本科选修课，《故事中的统计学》课程资料
  ☆32Updated 2 months ago
• jlakkis / sciPENN
  ☆18Updated 3 years ago
• bm2-lab / scMVP
  ☆32Updated 5 months ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆105Updated 2 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• yeee904 / RA_scRNA
  Rheumatoid Arthritis project. single cell RNA sequencing data.
  ☆13Updated 4 years ago