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David M Lin

Explore the profile of David M Lin including associated specialties, affiliations and a list of published articles. Areas
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Articles 32
Citations 1648
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Recent Articles
1.
Bisogni A, Armstead B, Lin D
STAR Protoc . 2024 Jul; 5(3):103192. PMID: 39024095
Coaggregation assays using K562 cells have been extensively employed to study how cell adhesion molecules mediate specificity between different populations. Here we describe how to prepare K562 cells, optimize electroporation...
2.
Fu X, Lin Y, Lin D, Mechtersheimer D, Wang C, Ameen F, et al.
Nat Commun . 2024 Jan; 15(1):509. PMID: 38218939
Recent advances in subcellular imaging transcriptomics platforms have enabled high-resolution spatial mapping of gene expression, while also introducing significant analytical challenges in accurately identifying cells and assigning transcripts. Existing methods...
3.
Kim H, Wang K, Chen C, Lin Y, Tam P, Lin D, et al.
Nat Comput Sci . 2024 Jan; 1(12):784-790. PMID: 38217190
The use of single-cell RNA-sequencing (scRNA-seq) allows observation of different cells at multi-tiered complexity in the same microenvironment. To get insights into cell identity using scRNA-seq data, we present Cepo,...
4.
Martinez A, Chung A, Huang S, Bisogni A, Lin Y, Cao Y, et al.
iScience . 2023 Nov; 26(11):108220. PMID: 37965156
The mouse olfactory system regenerates constantly throughout life. While genes critical for the initial projection of olfactory sensory neurons (OSNs) to the olfactory bulb have been identified, what genes are...
5.
Lin Y, Loo L, Tran A, Lin D, Moreno C, Hesselson D, et al.
PLoS Comput Biol . 2022 Oct; 18(10):e1010495. PMID: 36197936
COVID-19 patients display a wide range of disease severity, ranging from asymptomatic to critical symptoms with high mortality risk. Our ability to understand the interaction of SARS-CoV-2 infected cells within...
6.
Lin Y, Cao Y, Kim H, Salim A, Speed T, Lin D, et al.
Mol Syst Biol . 2020 Jun; 16(6):e9389. PMID: 32567229
Automated cell type identification is a key computational challenge in single-cell RNA-sequencing (scRNA-seq) data. To capitalise on the large collection of well-annotated scRNA-seq datasets, we developed scClassify, a multiscale classification...
7.
Lin Y, Ghazanfar S, Strbenac D, Wang A, Patrick E, Lin D, et al.
Gigascience . 2019 Sep; 8(9). PMID: 31531674
Background: Single-cell RNA-seq (scRNA-seq) profiling has revealed remarkable variation in transcription, suggesting that expression of many genes at the single-cell level is intrinsically stochastic and noisy. Yet, on the cell...
8.
Bisogni A, Ghazanfar S, Williams E, Marsh H, Yang J, Lin D
Elife . 2018 Dec; 7. PMID: 30547884
The delta-protocadherins (δ-Pcdhs) play key roles in neural development, and expression studies suggest they are expressed in combination within neurons. The extent of this combinatorial diversity, and how these combinations...
9.
Estey C, Dewey C, Rishniw M, Lin D, Bouma J, Sackman J, et al.
Front Vet Sci . 2017 Nov; 4:183. PMID: 29167797
MRI-acquired volumetric measurements from 100 dogs with presumptive idiopathic epilepsy (IE) and 41 non-epileptic (non-IE) dogs were used to determine if hippocampal asymmetry exists in the IE as compared to...
10.
Ghazanfar S, Bisogni A, Ormerod J, Lin D, Yang J
BMC Syst Biol . 2017 Jan; 10(Suppl 5):127. PMID: 28105940
Background: Large scale single cell transcriptome profiling has exploded in recent years and has enabled unprecedented insight into the behavior of individual cells. Identifying genes with high levels of expression...