Alternatives and similar repositories for affine-gap-sequence-alignment

Users that are interested in affine-gap-sequence-alignment are comparing it to the libraries listed below

• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆160Updated 3 years ago
• rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
  Deep Learning-based Clustering Approaches for Bioinformatics
  ☆142Updated 5 years ago
• cmap / cmapPy
  Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
  ☆139Updated 3 years ago
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆165Updated 4 years ago
• MedChaabane / DeepBind-with-PyTorch
  CNN architecture for predicting DNA binding sites for Transcription Factors
  ☆52Updated 7 years ago
• kexinhuang12345 / ml-genomics-resources
  Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)
  ☆80Updated 4 years ago
• Bjoux2 / DeepLearning-in-Bioinformatics
  For anyone who are eager to applying deep learning in bioinformatics!
  ☆123Updated 7 years ago
• dglai / Graph-Neural-Networks-in-Life-Sciences
  ☆219Updated 3 years ago
• samsinai / VAE_protein_function
  Protein function prediction using a variational autoencoder
  ☆93Updated 7 years ago
• QData / DeepDiffChrome
  "DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications", Bioinformatics, Volume 34, Issue 17,
  ☆21Updated 6 years ago
• baranwa2 / MetabolicPathwayPrediction
  ☆38Updated 2 years ago
• Machine-Learning-Class / Machine-learning
  欢迎来到机器学习理论与方法课程
  ☆63Updated 4 years ago
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆100Updated 2 years ago
• liyu95 / Deep_learning_examples
  Examples of using deep learning in Bioinformatics
  ☆443Updated last year
• brianhie / viral-mutation
  Language modeling of viral evolution
  ☆148Updated 2 years ago
• ruoqi-liu / DeepIPW
  Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nat…
  ☆100Updated 4 years ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆231Updated 4 years ago
• causalbench / causalbench
  ☆58Updated 7 months ago
• menchelab / MultiOme
  Network-based project to explore gene connectivity through biological scales
  ☆23Updated last year
• idekerlab / TCRP
  Few shot learning for cancer
  ☆36Updated 4 years ago
• CSB5 / CaDRReS
  Cancer Drug Response prediction using a Recommender System
  ☆43Updated 2 years ago
• emreg00 / toolbox
  Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
  ☆113Updated 3 years ago
• mila-iqia / gene-graph-conv
  Towards Gene Expression Convolutions using Gene Interaction Graphs
  ☆75Updated 4 years ago
• Superzchen / iLearn
  iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, …
  ☆84Updated 3 years ago
• jingcheng-du / Gene2vec
  Gene2Vec: Distributed Representation of Genes Based on Co-Expression
  ☆129Updated 3 years ago
• QData / ChromeGCN
  Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
  ☆33Updated 5 years ago
• frederikkemarin / BEND
  Benchmarking DNA Language Models on Biologically Meaningful Tasks
  ☆129Updated last year
• lgsaber / DeepResolve
  ☆14Updated 6 years ago
• KrishnaswamyLab / MIOFlow
  ☆34Updated 3 months ago
• greenelab / tybalt
  Training and evaluating a variational autoencoder for pan-cancer gene expression data
  ☆173Updated 7 years ago