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Neil Dalchau

13PUBLICATIONS

27CO-AUTHORS

Semi- and unsupervised learningGene expression (incl. microarray and other genome-wide approaches)Industrial molecular engineering of nucleic acids and proteinsProcess control and simulationExperimental methods in fluid flow, heat and mass transfer

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Publications (13)

Sort by Publication Date:

|May 27, 2022

Programming Molecular Systems To Emulate a Learning Spiking Neuron.

Jakub Fil, Neil Dalchau, Dominique Chu

|Jul 20, 2021

A deep learning model for predicting next-generation sequencing depth from DNA sequence.

Jinny X Zhang, Boyan Yordanov, Alexander Gaunt

|Apr 14, 2021

A systematic approach to inserting split inteins for Boolean logic gate engineering and basal activity reduction.

Trevor Y H Ho, Alexander Shao, Zeyu Lu

|Nov 03, 2020

Interpretation of morphogen gradients by a synthetic bistable circuit.

Paul K Grant, Gregory Szep, Om Patange

|Oct 15, 2020

Turing Patterning in Stratified Domains.

Andrew L Krause, Václav Klika, Jacob Halatek

|Feb 21, 2020

Stochastic pulsing of gene expression enables the generation of spatial patterns in Bacillus subtilis biofilms.

Eugene Nadezhdin, Niall Murphy, Neil Dalchau

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Frequent Collaborators

4 joint publications

Andrew Phillips

2 joint publications

Boyan Yordanov

2 joint publications

Baojun Wang

2 joint publications

Paul K Grant

2 joint publications

Jacob Halatek

1 joint publications

Peter V Coveney

1 joint publications

Jakub Fil

1 joint publications

Yiyu Xiang

1 joint publications

Ardjan van der Linden

1 joint publications

Pascal Pieters

Frequent Collaborators

4 joint publications

Andrew Phillips

2 joint publications

Boyan Yordanov

2 joint publications

Baojun Wang

2 joint publications

Paul K Grant

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