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library.bib
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@misc{10x2018pbmc,
title = {1k PBMCs from a Healthy Donor (v3 chemistry)},
author = {{10x Genomics}},
year = {2018},
url = {https://www.10xgenomics.com/resources/datasets/1-k-pbm-cs-from-a-healthy-donor-v-3-chemistry-3-standard-3-0-0}
}
@misc{10x2019heart,
title = {Human Heart},
author = {{10x Genomics}},
year = {2019},
url = {https://www.10xgenomics.com/datasets/human-heart-1-standard-1-0-0}
}
@misc{10x2019lymph,
title = {Human Lymph Node},
author = {{10x Genomics}},
year = {2019},
url = {https://www.10xgenomics.com/datasets/human-lymph-node-1-standard-1-0-0}
}
@misc{10x2019pbmc,
title = {5k Peripheral Blood Mononuclear Cells (PBMCs) from a Healthy Donor with a Panel of TotalSeq-B Antibodies (v3 chemistry)},
author = {{10x Genomics}},
year = {2019},
url = {https://www.10xgenomics.com/resources/datasets/5-k-peripheral-blood-mononuclear-cells-pbm-cs-from-a-healthy-donor-with-cell-surface-proteins-v-3-chemistry-3-1-standard-3-1-0}
}
@misc{10x2020breast,
title = {Human Breast Cancer: Whole Transcriptome Analysis},
author = {{10x Genomics}},
year = {2020},
url = {https://www.10xgenomics.com/datasets/human-breast-cancer-whole-transcriptome-analysis-1-standard-1-2-0}
}
@misc{10x2020cerebellum,
title = {Human Cerebellum: Whole Transcriptome Analysis},
author = {{10x Genomics}},
year = {2020},
url = {https://www.10xgenomics.com/datasets/human-cerebellum-whole-transcriptome-analysis-1-standard-1-2-0}
}
@misc{10x2020kidney,
title = {Mouse Kidney Section (Coronal)},
author = {{10x Genomics}},
year = {2020},
url = {https://www.10xgenomics.com/datasets/mouse-kidney-section-coronal-1-standard-1-1-0}
}
@misc{10x2021breast,
title = {Human Breast Cancer: Ductal Carcinoma In Situ, Invasive Carcinoma (FFPE)},
author = {{10x Genomics}},
year = {2021},
url = {https://www.10xgenomics.com/datasets/human-breast-cancer-ductal-carcinoma-in-situ-invasive-carcinoma-ffpe-1-standard-1-3-0}
}
@misc{10x2021prostate,
title = {Normal Human Prostate (FFPE)},
author = {{10x Genomics}},
year = {2021},
url = {https://www.10xgenomics.com/datasets/normal-human-prostate-ffpe-1-standard-1-3-0}
}
@misc{10x2022brain,
title = {Mouse Brain Coronal Section 1 (FFPE)},
author = {{10x Genomics}},
year = {2022},
url = {https://www.10xgenomics.com/datasets/mouse-brain-coronal-section-1-ffpe-2-standard}
}
@misc{10x2022cervical,
title = {Human Cervical Cancer (FFPE)},
author = {{10x Genomics}},
year = {2022},
url = {https://www.10xgenomics.com/datasets/human-cervical-cancer-1-standard}
}
@misc{10x2022olfactory,
title = {Adult Mouse Olfactory Bulb},
author = {{10x Genomics}},
year = {2022},
url = {https://www.10xgenomics.com/datasets/adult-mouse-olfactory-bulb-1-standard-1}
}
@misc{10x2022intestine,
title = {Human Intestine Cancer (FPPE)},
author = {{10x Genomics}},
year = {2022},
url = {https://www.10xgenomics.com/datasets/human-intestine-cancer-1-standard}
}
@misc{10x2022melanoma,
title = {Human Melanoma, IF Stained (FFPE)},
author = {{10x Genomics}},
year = {2022},
url = {https://www.10xgenomics.com/datasets/human-melanoma-if-stained-ffpe-2-standard}
}
@misc{10x2022prostate,
title = {Human Prostate Cancer, Adjacent Normal Section with IF Staining (FFPE)},
author = {{10x Genomics}},
year = {2022},
url = {https://www.10xgenomics.com/datasets/human-prostate-cancer-adjacent-normal-section-with-if-staining-ffpe-1-standard}
}
@misc{10x2023brain,
title = {Human Brain Cancer, 11 mm Capture Area (FFPE)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/human-brain-cancer-11-mm-capture-area-ffpe-2-standard}
}
@misc{10x2023colon,
title = {Visium CytAssist Gene Expression Libraries of Post-Xenium Human Colon Cancer (FFPE)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/visium-cytassist-gene-expression-libraries-of-post-xenium-human-colon-cancer-ffpe-using-the-human-whole-transcriptome-probe-set-2-standard}
}
@misc{10x2023colorectal,
title = {Human Colorectal Cancer, 11 mm Capture Area (FFPE)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/human-colorectal-cancer-11-mm-capture-area-ffpe-2-standard}
}
@misc{10x2023embryo,
title = {Visium CytAssist, Mouse Embryo, 11 mm Capture Area (FFPE)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/visium-cytassist-mouse-embryo-11-mm-capture-area-ffpe-2-standard}
}
@misc{10x2023kidney,
title = {Human Kidney, 11 mm Capture Area (FFPE)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/human-kidney-11-mm-capture-area-ffpe-2-standard}
}
@misc{10x2023lung,
title = {Human Lung Cancer, 11 mm Capture Area (FFPE)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/human-lung-cancer-11-mm-capture-area-ffpe-2-standard}
}
@misc{10x2023mousebrain,
title = {Visium CytAssist Gene Expression Libraries of Post-Xenium Mouse Brain (FF)},
author = {{10x Genomics}},
year = {2023},
url = {https://www.10xgenomics.com/datasets/visium-cytassist-gene-expression-libraries-of-post-xenium-mouse-brain-ff-using-the-mouse-whole-transcriptome-probe-set-2-standard}
}
@article{agostinis2022newwave,
doi = {10.1093/bioinformatics/btac149},
url = {https://doi.org/10.1093/bioinformatics/btac149},
year = {2022},
month = {Mar.},
publisher = {Oxford University Press ({OUP})},
volume = {38},
number = {9},
pages = {2648--2650},
author = {Federico Agostinis and Chiara Romualdi and Gabriele Sales and Davide Risso},
editor = {Yann Ponty},
title = {NewWave: a scalable R/Bioconductor package for the dimensionality reduction and batch effect removal of single-cell {RNA}-seq data},
journal = {Bioinformatics}
}
@article{agrawal2021mde,
title = {Minimum-Distortion Embedding},
author = {Akshay Agrawal and Alnur Ali and Stephen Boyd},
year = {2021},
journal = {Foundations and Trends{\textregistered} in Machine Learning},
publisher = {Now Publishers},
volume = {14},
number = {3},
pages = {211--378},
doi = {10.1561/2200000090},
url = {https://doi.org/10.1561/2200000090}
}
@article{aliee2021autogenes,
title = {{AutoGeneS}: Automatic gene selection using multi-objective optimization for {RNA}-seq deconvolution},
author = {Hananeh Aliee and Fabian J. Theis},
year = {2021},
month = {Jul.},
journal = {Cell Systems},
publisher = {Elsevier {BV}},
volume = {12},
number = {7},
pages = {706--715.e4},
doi = {10.1016/j.cels.2021.05.006},
url = {https://doi.org/10.1016/j.cels.2021.05.006}
}
@inproceedings{amelio2015normalized,
doi = {10.1145/2808797.2809344},
url = {https://doi.org/10.1145/2808797.2809344},
year = {2015},
month = {Aug.},
publisher = {{ACM}},
author = {Alessia Amelio and Clara Pizzuti},
title = {Is Normalized Mutual Information a Fair Measure for Comparing Community Detection Methods?},
booktitle = {Proceedings of the 2015 {IEEE}/{ACM} International Conference on Advances in Social Networks Analysis and Mining 2015}
}
@article{andersson2020single,
title = {Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography},
author = {Alma Andersson and Joseph Bergenstr{\aa}hle and Michaela Asp and Ludvig Bergenstr{\aa}hle and Aleksandra Jurek and Jos{\'{e}} Fern{\'{a}}ndez Navarro and Joakim Lundeberg},
year = {2020},
month = {Oct.},
journal = {Communications Biology},
publisher = {Springer Science and Business Media {LLC}},
volume = {3},
number = {1},
doi = {10.1038/s42003-020-01247-y},
url = {https://doi.org/10.1038/s42003-020-01247-y}
}
@article{andersson2021sepal,
title={sepal: Identifying transcript profiles with spatial patterns by diffusion-based modeling},
author={Andersson, Alma and Lundeberg, Joakim},
journal={Bioinformatics},
volume={37},
number={17},
pages={2644--2650},
year={2021},
publisher={Oxford University Press},
doi={10.1093/bioinformatics/btab164}
}
@string{apr = {Apr.}}
@string{aug = {Aug.}}
@article{batson2019molecular,
title = {Molecular Cross-Validation for Single-Cell RNA-seq},
author = {Batson, Joshua and Royer, Lo{\"\i}c and Webber, James},
year = {2019},
journal = {bioRxiv},
publisher = {Cold Spring Harbor Laboratory},
doi = {10.1101/786269},
url = {https://www.biorxiv.org/content/early/2019/09/30/786269},
elocation-id = {786269},
eprint = {https://www.biorxiv.org/content/early/2019/09/30/786269.full.pdf}
}
@article{biancalani2021deep,
title = {Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram},
author = {Tommaso Biancalani and Gabriele Scalia and Lorenzo Buffoni and Raghav Avasthi and Ziqing Lu and Aman Sanger and Neriman Tokcan and Charles R. Vanderburg and {\AA}sa Segerstolpe and Meng Zhang and Inbal Avraham-Davidi and Sanja Vickovic and Mor Nitzan and Sai Ma and Ayshwarya Subramanian and Michal Lipinski and Jason Buenrostro and Nik Bear Brown and Duccio Fanelli and Xiaowei Zhuang and Evan Z. Macosko and Aviv Regev},
year = {2021},
month = {Oct.},
journal = {Nature Methods},
publisher = {Springer Science and Business Media {LLC}},
volume = {18},
number = {11},
pages = {1352--1362},
doi = {10.1038/s41592-021-01264-7},
url = {https://doi.org/10.1038/s41592-021-01264-7}
}
@article{bintayyash2021non,
author = {BinTayyash, Nuha and Georgaka, Sokratia and John, S T and Ahmed, Sumon and Boukouvalas, Alexis and Hensman, James and Rattray, Magnus},
title = "{Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments}",
journal = {Bioinformatics},
volume = {37},
number = {21},
pages = {3788-3795},
year = {2021},
month = {07},
issn = {1367-4803},
doi = {10.1093/bioinformatics/btab486},
url = {https://doi.org/10.1093/bioinformatics/btab486},
eprint = {https://academic.oup.com/bioinformatics/article-pdf/37/21/3788/50336570/btab486.pdf},
}
@article{bland2000odds,
title = {Statistics Notes: The odds ratio},
author = {J. M. Bland},
year = {2000},
month = {May},
journal = {{BMJ}},
publisher = {{BMJ}},
volume = {320},
number = {7247},
pages = {1468--1468},
doi = {10.1136/bmj.320.7247.1468},
url = {https://doi.org/10.1136/bmj.320.7247.1468}
}
@article{breiman2001random,
doi = {10.1023/a:1010933404324},
url = {https://doi.org/10.1023/a:1010933404324},
year = {2001},
publisher = {Springer Science and Business Media {LLC}},
volume = {45},
number = {1},
pages = {5--32},
author = {Leo Breiman},
journal = {Machine Learning}
}
@article{bttner2018test,
title = {A test metric for assessing single-cell {RNA}-seq batch correction},
author = {Maren B\"{u}ttner and Zhichao Miao and F. Alexander Wolf and Sarah A. Teichmann and Fabian J. Theis},
year = {2018},
month = {Dec.},
journal = {Nature Methods},
publisher = {Springer Science and Business Media {LLC}},
volume = {16},
number = {1},
pages = {43--49},
doi = {10.1038/s41592-018-0254-1},
url = {https://doi.org/10.1038/s41592-018-0254-1}
}
@article{cabello2020singlecellsignalr,
title = {{SingleCellSignalR}: inference of intercellular networks from single-cell transcriptomics},
author = {Simon Cabello-Aguilar and M{\'{e}}lissa Alame and Fabien Kon-Sun-Tack and Caroline Fau and Matthieu Lacroix and Jacques Colinge},
year = {2020},
month = {Mar.},
journal = {Nucleic Acids Research},
publisher = {Oxford University Press ({OUP})},
volume = {48},
number = {10},
pages = {e55--e55},
doi = {10.1093/nar/gkaa183},
url = {https://doi.org/10.1093/nar/gkaa183}
}
@article{cable2021robust,
title = {Robust decomposition of cell type mixtures in spatial transcriptomics},
author = {Dylan M. Cable and Evan Murray and Luli S. Zou and Aleksandrina Goeva and Evan Z. Macosko and Fei Chen and Rafael A. Irizarry},
year = {2021},
month = {Feb.},
journal = {Nature Biotechnology},
publisher = {Springer Science and Business Media {LLC}},
volume = {40},
number = {4},
pages = {517--526},
doi = {10.1038/s41587-021-00830-w},
url = {https://doi.org/10.1038/s41587-021-00830-w}
}
@misc{cannoodt2021viashfromscripts,
doi = {10.48550/ARXIV.2110.11494},
url = {https://arxiv.org/abs/2110.11494},
author = {Cannoodt, Robrecht and Cannoodt, Hendrik and Van de Kerckhove, Eric and Boschmans, Andy and De Maeyer, Dries and Verbeiren, Toni},
keywords = {Software Engineering (cs.SE), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Viash: from scripts to pipelines},
publisher = {arXiv},
year = {2021},
copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
}
@article{cai2023spanve,
title={Spanve: an Statistical Method to Detect Clustering-friendly Spatially Variable Genes in Large-scale Spatial Transcriptomics Data},
author={Cai, Guoxin and Chen, Yichang and Chen, Shuqing and Gu, Xun and Zhou, Zhan},
journal={bioRxiv},
pages={2023--02},
year={2023},
publisher={Cold Spring Harbor Laboratory},
doi={10.1101/2023.02.08.527623}
}
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