single samplekullbackleibler divergence trang 13 tải miễn phí từ TAILIEUCHUNG

"single samplekullbackleibler divergence" trang 13 - tải miễn phí từ Tailieuchung

Brain antibody sequence evaluation (BASE): An easy-to-use software for complete data analysis in single cell immunoglobulin cloning

Brain antibody sequence evaluation (BASE): An easy-to-use software for complete data analysis in single cell immunoglobulin cloning

10 40 1

CoGAPS 3: Bayesian non‑negative matrix factorization for single‑cell analysis with asynchronous updates and sparse data structures

CoGAPS 3: Bayesian non‑negative matrix factorization for single‑cell analysis with asynchronous updates and sparse data structures

6 28 1

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

11 51 1

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 35 1

Aneuvis: Web-based exploration of numerical chromosomal variation in single cells

Aneuvis: Web-based exploration of numerical chromosomal variation in single cells

10 28 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 42 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

16 41 1

Barcode identification for single cell genomics

Barcode identification for single cell genomics

9 71 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’

12 38 1

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

21 34 1

DrImpute: Imputing dropout events in single cell RNA sequencing data

DrImpute: Imputing dropout events in single cell RNA sequencing data

10 56 1

An interpretable framework for clustering single-cell RNA-Seq datasets

An interpretable framework for clustering single-cell RNA-Seq datasets

12 37 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

10 63 1

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

14 77 1

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 43 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 56 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

11 60 1

BTR: Training asynchronous Boolean models using single-cell expression data

BTR: Training asynchronous Boolean models using single-cell expression data

18 29 1

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 39 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 27 1

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