Faculty

Institution

Unit

Venue

Dave M. Lin

Associate Professor

Cornell University

Affiliations

College of Veterinary Medicine

Department of Biomedical Sciences

Dave M. Lin is currently serving as a College Of Veterinary Medicine Associate Professor at Cornell University.

Honors

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Experiences

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Education

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Dave M. Lin

Cornell University

Associate Professor

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cell biology developmental biology gene expression neurons molecular cell biology cell research systems biology molecular neuroscience cellular physiology developmental cell single-cell analysis developmental neurobiology transcriptome bioinformatics cellular neurobiology computational biology molecular physiology developmental system gene expression profiling physiology functional genomics biomedical informatics molecular informatics genome biology single cell sequencing molecular neurobiology cancer cells neurotransmission molecular cancer animal behavior molecular metabolism developmental genetics cell fate determination transcriptomics technology gene function neurobiological mechanisms spatial omics olfactory bulb insect molecular biology zoology molecular gastroenterology colorectal cancer nanolithography method microarray data analysis neural mechanisms brain mechanisms biomedical data analysis cancer genetics cancer genomics cell identity mouse olfactory bulb cell growth genetic analysis experimental biology receptor (biochemistry) sensory science brain circuitry self-supervised learning cell motility nanobiotechnology pathway analysis neuroecology vertebrate vision fasciclin ii alters growth cone guidance fasciclin ii functional identification precise connections olfactory bulb occurs odorant-evoked neuronal activity sample size estimation sample size scclassify sample size star gene drosophila egf receptor star transcript neuroregeneration molecular neurodegeneration regeneration (biology) nervous system neuroscience

Notable Scholarly Works

Notable Federal Grants

Collaborators

BIDCELL: Biologically-Informed Self-Supervised Learning for Segmentation of Subcellular Spatial Transcriptomics Data. Nature Communications (2024)

Xiaohang FuYingxin LinDavid M. LinDaniel MechtersheimerChuhan WangFarhan AmeenShila GhazanfarEllis PatrickJinman KimJean Y. H. Yang

biomedical informaticsbioinformaticssingle-cell analysiscell biologycell segmentation performancebiological imagingmachine learningsystems biologytranscriptomecomputational biologycell researchmolecular informaticsspatial omicssingle cell sequencinggene expressioncell segmentationself-supervised learningdeep learning

KONTEXTUAL: Reframing Analysis of Spatial Omics Data Reveals Consistent Cell Relationships Across Images. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Farhan AmeenNick RobertsonDavid M. LinShila GhazanfarEllis Patrick

biomedical informaticsbiomedical data analysisimage representationmedical image computingspatial relationshipsbioinformaticsbiomedical data sciencespatial quantificationscell biologyquantitative biologysystems biologytranscriptomespatial omicscell researchspatial analysisbiological network visualizationspatial proteomicsomics

Protocol for Optimizing Surface Expression and Speed in Coaggregation Assays Using K562 Cells and Subsequent Analysis With a Coag Index. STAR Protocols (2024)

Adam J BisogniBenjamin L ArmsteadDavid M Lin

k562 cellsantibody screeningcell biologymolecular cell biologysurface expressionimmunologycoag indexcell researchcell and molecular biologymolecular biologybiomedical analysiscell adhesionbioanalysiscellular physiology

Pcdh19 Mediates Olfactory Sensory Neuron Coalescence During Postnatal Stages and Regeneration. iScience (2023)

Andrew P MartinezAlexander C ChungSuihong HuangAdam J BisogniYingxin LinYue CaoEric O WilliamsJin Y KimJean Y H YangDavid M Lin

developmental biologymouse olfactory systemgeneticsregeneration (biology)developmental neurobiologycellular neurobiologyneuronsmolecular neurosciencedevelopmental systemdevelopmental geneticsolfactory bulbdevelopmental cellolfactory mapbiologyneurogeneticsmolecular neurobiologygene function

Supplementary Tables 1-2 From I Shmt1 /I Heterozygosity Impairs Folate-Dependent Thymidylate Synthesis Capacity and Modifies Risk of I Apc Sup Min /Sup /I -Mediated Intestinal Cancer Risk. (2023)

Amanda J. MacFarlaneCheryll A. PerryMichael F. McEnteeDavid M. LinPatrick J. Stover

cancer genomicstumor biologygeneticssupplementary tables 1-2cancer researchoncologymolecular cancercancer biologymodifies riskcancer cellsoncogenescancer riskintestinal cancer riskcarcinogenesiscancer geneticspathology

Scalable Workflow for Characterization of Cell-Cell Communication in Covid-19 Patients. PLoS Computational Biology (2022)

Yingxin LinLipin LooAndy TranDavid M. LinCesar MorenoDaniel HesselsonG. Gregory NeelyJean Y. H. Yang

scalable workflowmolecular diagnosticscovid-19immune responsessingle-cell analysisinfectious diseasesmedical virologysars-cov-2immunologydisease severitysingle cell sequencinglung tissuesmultiomicsgeneral virologyvirus research

Cepo Uncovers Cell Identity Through Differential Stability. bioRxiv (Cold Spring Harbor Laboratory) (2021)

Hani Jieun KimKevin WangCarissa ChenYingxin LinPatrick PL TamDavid M LinJean YH YangPengyi Yang

stem cell researchgeneticssingle cell sequencingcellular differentiationcell identitycell lineagesingle-cell analysiscell biologymolecular cell biologyfunctional genomicscepo uncoversgenomicstranscriptomecell researchgenome biologygene expressiongene expression profilingdifferential stability

HANDYTRAK: Recognizing the Holding Hand on a Commodity Smartphone From Body Silhouette Images. (2021)

Hyunchul LimDavid LinJessica TweneboahCheng Zhang

human-computer interactionmobile interactionintelligent user interfacescomputer sciencemobile computinguser interfacescommodity smartphonebody silhouette imagesgesture recognitionubiquitous computingmachine visionhuman pose estimationholding handcomputer vision

Uncovering Cell Identity Through Differential Stability With Cepo. Nature Computational Science (2021)

Hani Jieun KimKevin WangCarissa ChenYingxin LinPatrick P. L. TamDavid M. LinJean Y. H. YangPengyi Yang

molecular and cellular biologycellular differentiationcell fate determinationcell identitycell biologymolecular cell biologytheoretical biologycell researchcell and molecular biologycellular physiology

Investigating Higher-Order Interactions in Single-Cell Data With Schot. Nature Methods (2020)

Shila GhazanfarYingxin LinXianbin SuDavid Ming LinEllis PatrickZe-Guang HanJohn C. MarioniJean Yee Hwa Yang

single-cell analysissystems biologycomputational biologycell researchhigher-order interactions

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Dave M. Lin

Associate Professor

Cornell University

Affiliations

College of Veterinary Medicine

Department of Biomedical Sciences

Dave M. Lin is currently serving as a College Of Veterinary Medicine Associate Professor at Cornell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dave M. Lin

Cornell University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

BIDCELL: Biologically-Informed Self-Supervised Learning for Segmentation of Subcellular Spatial Transcriptomics Data. Nature Communications (2024)

Xiaohang FuYingxin LinDavid M. LinDaniel MechtersheimerChuhan WangFarhan AmeenShila GhazanfarEllis PatrickJinman KimJean Y. H. Yang

KONTEXTUAL: Reframing Analysis of Spatial Omics Data Reveals Consistent Cell Relationships Across Images. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Farhan AmeenNick RobertsonDavid M. LinShila GhazanfarEllis Patrick

Protocol for Optimizing Surface Expression and Speed in Coaggregation Assays Using K562 Cells and Subsequent Analysis With a Coag Index. STAR Protocols (2024)

Adam J BisogniBenjamin L ArmsteadDavid M Lin

Pcdh19 Mediates Olfactory Sensory Neuron Coalescence During Postnatal Stages and Regeneration. iScience (2023)

Andrew P MartinezAlexander C ChungSuihong HuangAdam J BisogniYingxin LinYue CaoEric O WilliamsJin Y KimJean Y H YangDavid M Lin

Supplementary Tables 1-2 From I Shmt1 /I Heterozygosity Impairs Folate-Dependent Thymidylate Synthesis Capacity and Modifies Risk of I Apc Sup Min /Sup /I -Mediated Intestinal Cancer Risk. (2023)

Amanda J. MacFarlaneCheryll A. PerryMichael F. McEnteeDavid M. LinPatrick J. Stover

Scalable Workflow for Characterization of Cell-Cell Communication in Covid-19 Patients. PLoS Computational Biology (2022)

Yingxin LinLipin LooAndy TranDavid M. LinCesar MorenoDaniel HesselsonG. Gregory NeelyJean Y. H. Yang

Cepo Uncovers Cell Identity Through Differential Stability. bioRxiv (Cold Spring Harbor Laboratory) (2021)

Hani Jieun KimKevin WangCarissa ChenYingxin LinPatrick PL TamDavid M LinJean YH YangPengyi Yang

HANDYTRAK: Recognizing the Holding Hand on a Commodity Smartphone From Body Silhouette Images. (2021)

Hyunchul LimDavid LinJessica TweneboahCheng Zhang

Uncovering Cell Identity Through Differential Stability With Cepo. Nature Computational Science (2021)

Hani Jieun KimKevin WangCarissa ChenYingxin LinPatrick P. L. TamDavid M. LinJean Y. H. YangPengyi Yang

Investigating Higher-Order Interactions in Single-Cell Data With Schot. Nature Methods (2020)

Shila GhazanfarYingxin LinXianbin SuDavid Ming LinEllis PatrickZe-Guang HanJohn C. MarioniJean Yee Hwa Yang

single-cell analysissystems biologycomputational biologycell researchhigher-order interactions

1
2
3
4
5
10 / page

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