"single stranded dna" trang 14 - tải miễn phí từ tailieunhanh
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
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Multiplatform biomarker identification using a data-driven approach enables single-sample classification

Multiplatform biomarker identification using a data-driven approach enables single-sample classification
13    46    1
Aneuvis: Web-based exploration of numerical chromosomal variation in single cells

Aneuvis: Web-based exploration of numerical chromosomal variation in single cells
10    41    1
AutoCryoPicker: An unsupervised learning approach for fully automated single particle picking in Cryo-EM images

AutoCryoPicker: An unsupervised learning approach for fully automated single particle picking in Cryo-EM images
26    53    1
Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters

Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters
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Barcode identification for single cell genomics

Barcode identification for single cell genomics
9    85    1
RefCell: Multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’

RefCell: Multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’
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Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data

Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
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DrImpute: Imputing dropout events in single cell RNA sequencing data

DrImpute: Imputing dropout events in single cell RNA sequencing data
10    74    1
An interpretable framework for clustering single-cell RNA-Seq datasets

An interpretable framework for clustering single-cell RNA-Seq datasets
12    51    1
Cell type discovery and representation in the era of high-content single cell phenotyping

Cell type discovery and representation in the era of high-content single cell phenotyping
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DTWscore: Differential expression and cell clustering analysis for time-series single-cell RNA-seq data

DTWscore: Differential expression and cell clustering analysis for time-series single-cell RNA-seq data
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Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences
10    55    1
A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy

A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy
10    74    1
SAG-QC: Quality control of single amplified genome information by subtracting non-target sequences based on sequence compositions

SAG-QC: Quality control of single amplified genome information by subtracting non-target sequences based on sequence compositions
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BTR: Training asynchronous Boolean models using single-cell expression data

BTR: Training asynchronous Boolean models using single-cell expression data
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Acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data

Acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data
11    57    1
QQ-SNV: Single nucleotide variant detection at low frequency by comparing the quality quantiles

QQ-SNV: Single nucleotide variant detection at low frequency by comparing the quality quantiles
14    40    1
PcaReduce: Hierarchical clustering of single cell transcriptional profiles

PcaReduce: Hierarchical clustering of single cell transcriptional profiles
11    77    1
Automatic detection of diffusion modes within biological membranes using backpropagation neural network

Automatic detection of diffusion modes within biological membranes using backpropagation neural network
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