Quantile regression
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0406-y
Fast Interpolation-based t-SNE for Improved Visualization of Single-Cell RNA-Seq Data
来源期刊:Nature methodsDOI:10.1038/s41592-018-0308-4
Machine-learning-guided directed evolution for protein engineering
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0496-6
Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0425-8
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0612-7
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0575-8
The mesoSPIM initiative – open-source light-sheet microscopes for imaging cleared tissue
来源期刊:Nature methodsDOI:10.1038/s41592-019-0554-0
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0666-6
In vivo RNA editing of point mutations via RNA-guided adenosine deaminases
来源期刊:Nature methodsDOI:10.1038/s41592-019-0323-0
SABER enables amplified and multiplexed imaging of RNA and DNA in cells and tissues
来源期刊:Nature methodsDOI:10.1038/s41592-019-0404-0
Genome-wide quantification of ADAR adenosine-to-inosine RNA editing activity
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0610-9
Joint profiling of DNA methylation and chromatin architecture in single cells
来源期刊:Nature methodsDOI:10.1038/s41592-019-0502-z
High Throughput Discovery of Functional Protein Modifications by Hotspot Thermal Profiling
来源期刊:Nature methodsDOI:10.1038/s41592-019-0499-3
FLAM-seq: full-length mRNA sequencing reveals principles of poly(A) tail length control
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0503-y
Liquid application method for time-resolved analyses by serial synchrotron crystallography
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0553-1
HiChIRP reveals RNA-associated chromosome conformation
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0407-x
In situ structure determination at nanometer resolution using TYGRESS
来源期刊:Nature methodsDOI:10.1038/s41592-019-0651-0
Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0504-x
Capturing the dynamics of genome replication on individual ultra-long nanopore sequence reads
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0394-y
A super-resolution platform for correlative live single-molecule imaging and STED microscopy
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0611-8
An antibody for analysis of autophagy induction
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0661-y
A five-level classification system for proteoform identifications
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0573-x
Deep learning adds an extra dimension to peptide fragmentation
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0428-5
Two-level factorial experiments
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0335-9
Integrated transcriptomic–genomic tool Texomer profiles cancer tissues
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0388-9
Spatial transcriptomics levels up
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0441-8
Deep learning gets scope time
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0670-x
Author Correction: An efficient auxin-inducible degron system with low basal degradation in human cells
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0652-z
Publisher Correction: A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0423-x
Protein translation inside synthetic membraneless organelles
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0439-2
May mechanobiology work forcefully for you
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0621-6
It’s free imaging — label-free, that is
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0664-8
Atomic-level in-cell protein NMR
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0525-5
Optogenetics turns up the heat
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0528-2
An FDR metric for top-down proteomics
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0343-9
Haribabu Arthanari
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0362-6
Pose estimation with deep learning
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0678-2
In celebration of chemistry
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0454-3
Tuning GPCR-based sensors
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0440-9
Hybrid volumetric calcium imaging
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0442-7
Convergence in neuropsychiatric research
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0578-5
Scattering microscopy takes single-particle tracking to the next level
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0438-3
How to follow metabolic clues to find cancer’s Achilles heel
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0331-0
A light-dependent Flp recombinase
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0338-6
Vector integration at breaks
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0679-1
A mouse blastocyst-like structure from scratch
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0674-6
Publisher Correction: The Author File: Sündüz Keleş
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0725-z
Ligandable proteome mapping
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0673-7
Author Correction: Machine learning, practically speaking
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0452-5
Juan C. Caicedo
来源期刊:Nature MethodsDOI:10.1038/s41592-019-0668-4