ProteinBERT: a universal deep-learning model of protein sequence and function
2022 · Bioinformatics · 908 citations
https://doi.org/10.1093/bioinformatics/btac020
M
Michal Linial
Hebrew College(US)
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
414
Papers
16.1K
Citations
57
h-index
188
i10-index
Michal Linial is an academic researcher from Hebrew College. The author has contributed to research in topics: Machine Learning in Bioinformatics & Genomics and Phylogenetic Studies & Bioinformatics and Genomic Networks. The author has an h-index of 57, co-authored 352 publications.
ORCID: 0000-0002-9357-4526Papers by this author
worksThe CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
2019 · Genome biology · 468 citations
https://doi.org/10.1186/s13059-019-1835-8
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
2016 · Genome biology · 445 citations
https://doi.org/10.1186/s13059-016-1037-6
The language of proteins: NLP, machine learning & protein sequences
2021 · Computational and Structural Biotechnology Journal · 374 citations
https://doi.org/10.1016/j.csbj.2021.03.022
Viral adaptation to host: a proteome‐based analysis of codon usage and amino acid preferences
2009 · Molecular Systems Biology · 260 citations
https://doi.org/10.1038/msb.2009.71
Protein function annotation by homology-based inference
2009 · Genome Biology · 225 citations
https://doi.org/10.1186/gb-2009-10-2-207
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat