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Tags: Science and math
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1–24 of 24 · Most stars

Deep probabilistic analysis of single-cell and spatial omics data

  • scrna-seq
  • variational-bayes
  • variational-autoencoder
  • cite-seq

In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more

  • dna
  • k-mer
  • python
  • bloom-filter

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

  • kmer
  • dnabert-model
  • kmer-format
  • gpu

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  • deep-learning
  • protein-sequences
  • protein-structure
  • semi-supervised-learning

Generation of protein sequences and evolutionary alignments via discrete diffusion models

  • discrete-diffusion
  • generative-model
  • multiple-sequence-alignment
  • protein-sequences

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

Spatial Single Cell Analysis in Python

  • single-cell-rna-seq
  • single-cell-genomics
  • spatial-transcriptomics
  • spatial-analysis

Sequential regulatory activity predictions with deep convolutional neural networks.

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

  • self-attention
  • compound-protein-interaction
  • transformercpi
  • structure-free-virtual-sreening