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A comparison of automatic cell identification methods for single-cell RNA sequencing data

Genome Biology, 2019-09, Vol.20 (1), p.194-19, Article 194

2019

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Benchmarking variational AutoEncoders on cancer transcriptomics data

PloS one, 2023-10, Vol.18 (10), p.e0292126-e0292126

2023

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Hierarchical progressive learning of cell identities in single-cell data

Nature communications, 2021-05, Vol.12 (1), p.2799-2799, Article 2799

2021

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Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

Genome Biology, 2023-04, Vol.24 (1), p.86-86, Article 86

2023

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algorithm-based topographical biomaterials library to instruct cell fate

Proceedings of the National Academy of Sciences - PNAS, 2011-10, Vol.108 (40), p.16565-16570

2011

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2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues

PloS one, 2016-02, Vol.11 (2), p.e0149853-e0149853

2016

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The transcriptional regulator c2h2 accelerates mushroom formation in Agaricus bisporus

Applied microbiology and biotechnology, 2016-08, Vol.100 (16), p.7151-7159

2016

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SpaGE: Spatial Gene Enhancement using scRNA-seq

Nucleic acids research, 2020-10, Vol.48 (18), p.e107-e107

2020

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Calculating the fetal fraction for noninvasive prenatal testing based on genome-wide nucleosome profiles

Prenatal diagnosis, 2016-07, Vol.36 (7), p.614-621

2016

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Fewer permutations, more accurate P-values

Bioinformatics, 2009-06, Vol.25 (12), p.i161-i168

2009

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Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels

Scientific reports, 2023-06, Vol.13 (1), p.10424-10424, Article 10424

2023

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Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

Nature communications, 2017-11, Vol.8 (1), p.1740-10, Article 1740

2017

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Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function

Bioinformatics, 2021-04, Vol.37 (2), p.162-170

2021

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A survey of functional genomic variation in domesticated chickens

Genetics selection evolution (Paris), 2018-04, Vol.50 (1), p.17-17, Article 17

2018

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Quantitative proteomics and transcriptomics of anaerobic and aerobic yeast cultures reveals post-transcriptional regulation of key cellular processes

Microbiology (Society for General Microbiology), 2007-11, Vol.153 (Pt 11), p.3864-3878

2007

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Exploring sequence characteristics related to high-level production of secreted proteins in Aspergillus niger

PloS one, 2012-10, Vol.7 (10), p.e45869

2012

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Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data

Proceedings of the National Academy of Sciences - PNAS, 2016-10, Vol.113 (43), p.12244-12249

2016

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Brain transcriptome atlases: a computational perspective

Brain Structure and Function, 2017-05, Vol.222 (4), p.1557-1580

2017

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PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors

Bioinformatics, 2019-07, Vol.35 (14), p.i510-i519

2019

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A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML

NPJ precision oncology, 2024-05, Vol.8 (1), p.105-105, Article 105

2024

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A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets

BMC bioinformatics, 2006-05, Vol.7 (1), p.235-235, Article 235

2006

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Cortical Spreading Depression Causes Unique Dysregulation of Inflammatory Pathways in a Transgenic Mouse Model of Migraine

Molecular neurobiology, 2017-05, Vol.54 (4), p.2986-2996

2017

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WISECONDOR: detection of fetal aberrations from shallow sequencing maternal plasma based on a within-sample comparison scheme

Nucleic acids research, 2014-03, Vol.42 (5), p.e31-e31

2014

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Metric learning on expression data for gene function prediction

Bioinformatics, 2020-02, Vol.36 (4), p.1182-1190

2020

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A comparison of automatic cell identification methods for single-cell RNA sequencing data

Benchmarking variational AutoEncoders on cancer transcriptomics data

Hierarchical progressive learning of cell identities in single-cell data

Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

algorithm-based topographical biomaterials library to instruct cell fate

2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues

The transcriptional regulator c2h2 accelerates mushroom formation in Agaricus bisporus

SpaGE: Spatial Gene Enhancement using scRNA-seq

Calculating the fetal fraction for noninvasive prenatal testing based on genome-wide nucleosome profiles

Fewer permutations, more accurate P-values

Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels

Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function

A survey of functional genomic variation in domesticated chickens

Quantitative proteomics and transcriptomics of anaerobic and aerobic yeast cultures reveals post-transcriptional regulation of key cellular processes

Exploring sequence characteristics related to high-level production of secreted proteins in Aspergillus niger

Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas

Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data

Brain transcriptome atlases: a computational perspective

PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors

A transcriptomic based deconvolution framework for assessing differentiation stages and drug responses of AML

A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets

Cortical Spreading Depression Causes Unique Dysregulation of Inflammatory Pathways in a Transgenic Mouse Model of Migraine

WISECONDOR: detection of fetal aberrations from shallow sequencing maternal plasma based on a within-sample comparison scheme

Metric learning on expression data for gene function prediction

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