Engineering whole-cell microbial biosensors: Design principles and applications in monitoring and treatment of heavy metals and organic pollutants
C Liu, H Yu, B Zhang, S Liu, C Liu, F Li, H Song - Biotechnology Advances, 2022 - Elsevier
Biosensors have been widely used as cost-effective, rapid, in situ, and real-time analytical
tools for monitoring environments. The development of synthetic biology has enabled …
tools for monitoring environments. The development of synthetic biology has enabled …
[HTML][HTML] Machine learning for biochemical engineering: A review
The field of machine learning is comprised of techniques, which have proven powerful
approaches to knowledge discovery and construction of 'digital twins' in the highly …
approaches to knowledge discovery and construction of 'digital twins' in the highly …
Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution
Genomic (DNA) sequences encode an enormous amount of information for gene regulation
and protein synthesis. Similar to natural language models, researchers have proposed …
and protein synthesis. Similar to natural language models, researchers have proposed …
Nucleotide Transformer: building and evaluating robust foundation models for human genomics
The prediction of molecular phenotypes from DNA sequences remains a longstanding
challenge in genomics, often driven by limited annotated data and the inability to transfer …
challenge in genomics, often driven by limited annotated data and the inability to transfer …
Big bird: Transformers for longer sequences
Transformers-based models, such as BERT, have been one of the most successful deep
learning models for NLP. Unfortunately, one of their core limitations is the quadratic …
learning models for NLP. Unfortunately, one of their core limitations is the quadratic …
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Motivation Deciphering the language of non-coding DNA is one of the fundamental
problems in genome research. Gene regulatory code is highly complex due to the existence …
problems in genome research. Gene regulatory code is highly complex due to the existence …
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection
A promoter is a sequence of DNA that initializes the process of transcription and regulates
whenever and wherever genes are expressed in the organism. Because of its importance in …
whenever and wherever genes are expressed in the organism. Because of its importance in …
iPro-WAEL: a comprehensive and robust framework for identifying promoters in multiple species
Promoters are consensus DNA sequences located near the transcription start sites and they
play an important role in transcription initiation. Due to their importance in biological …
play an important role in transcription initiation. Due to their importance in biological …
[图书][B] Representation learning for natural language processing
This book provides an overview of the recent advances in representation learning theory,
algorithms, and applications for natural language processing (NLP), ranging from word …
algorithms, and applications for natural language processing (NLP), ranging from word …
De novo domestication of wild species to create crops with increased resilience and nutritional value
Creating crops with resistance to drought, soil salinity and insect damage, that
simultaneously have higher nutritional quality, is challenging to conventional breeding due …
simultaneously have higher nutritional quality, is challenging to conventional breeding due …