Single-molecule techniques in biophysics: a review of the progress in methods and applications

H Miller, Z Zhou, J Shepherd… - Reports on Progress …, 2017 - iopscience.iop.org
Single-molecule biophysics has transformed our understanding of biology, but also of the
physics of life. More exotic than simple soft matter, biomatter lives far from thermal …

Direct kinetic fingerprinting for high-accuracy single-molecule counting of diverse disease biomarkers

S Mandal, Z Li, T Chatterjee, K Khanna… - Accounts of Chemical …, 2020 - ACS Publications
Conspectus Methods for detecting and quantifying disease biomarkers in biofluids with high
specificity and sensitivity play a pivotal role in enabling clinical diagnostics, including point …

The parameter sensitivity of random forests

BFF Huang, PC Boutros - BMC bioinformatics, 2016 - Springer
Abstract Background The Random Forest (RF) algorithm for supervised machine learning is
an ensemble learning method widely used in science and many other fields. Its popularity …

DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning

J Thomsen, MB Sletfjerding, SB Jensen, S Stella… - Elife, 2020 - elifesciences.org
Single-molecule Förster Resonance energy transfer (smFRET) is an adaptable method for
studying the structure and dynamics of biomolecules. The development of high throughput …

RS-FISH: precise, interactive, fast, and scalable FISH spot detection

E Bahry, L Breimann, M Zouinkhi, L Epstein… - Nature …, 2022 - nature.com
Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic
and epigenetic information from biological samples by detecting fluorescent spots in …

Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning

J Li, L Zhang, A Johnson-Buck, NG Walter - Nature Communications, 2020 - nature.com
Traces from single-molecule fluorescence microscopy (SMFM) experiments exhibit
photophysical artifacts that typically necessitate human expert screening, which is time …

Decoding optical data with machine learning

J Fang, A Swain, R Unni, Y Zheng - Laser & photonics reviews, 2021 - Wiley Online Library
Optical spectroscopy and imaging techniques play important roles in many fields such as
disease diagnosis, biological study, information technology, optical science, and materials …

Yeast silencing factor Sir4 and a subset of nucleoporins form a complex distinct from nuclear pore complexes

DL Lapetina, C Ptak, UK Roesner… - Journal of Cell Biology, 2017 - rupress.org
Interactions occurring at the nuclear envelope (NE)–chromatin interface influence both NE
structure and chromatin organization. Insights into the functions of NE–chromatin …

[HTML][HTML] MED GATA factors promote robust development of the C. elegans endoderm

MF Maduro, G Broitman-Maduro, H Choi… - Developmental …, 2015 - Elsevier
Abstract The MED-1, 2 GATA factors contribute to specification of E, the progenitor of the
Caenorhabditis elegans endoderm, through the genes end-1 and end-3, and in parallel with …

[HTML][HTML] Mutagenesis of GATA motifs controlling the endoderm regulator elt-2 reveals distinct dominant and secondary cis-regulatory elements

L Du, S Tracy, SA Rifkin - Developmental biology, 2016 - Elsevier
Cis-regulatory elements (CREs) are crucial links in developmental gene regulatory
networks, but in many cases, it can be difficult to discern whether similar CREs are …