Faculty

Institution

Unit

Venue

Nicholas Lytal

California State University--Chico

Affiliations

California State University--Chico

Department Of Math And Statistics

Division Of Computing And Mathematics

NoneNicholas Lytal is currently serving as a California State University--Chico faculty at California State University--Chico.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Nicholas Lytal

California State University--Chico

You can click a keyword to filter the displayed items

genomics genetics bioinformatics transcriptomics technology molecular biology population genetics genome biology single-cell analysis rna biology single-cell rna-seq data biostatistics data science human genetics informatics open science characterization (materials science) machine learning data normalization applied genetics computational genomics medical genetics microbial diversity normalization methods drop-out events heavy metal ions mie scattering microparticle-based characterization statistical inference methods cell type clustering neural network-imputation single-cell rna sequencing novel normalization method

Notable Scholarly Works

Notable Federal Grants

Collaborators

TIMENORM: A Novel Normalization Method for Time Course Microbiome Data. Frontiers in Genetics (2024)

Qianwen LuoMeng LuHamza ButtNicholas LytalRuofei DuHongmei JiangLingling An

geneticsmicrobial ecologymicrobial diversitymicrobiomegenomicsnovel normalization method

NISC: Neural Network-Imputation for Single-Cell Rna Sequencing and Cell Type Clustering. Frontiers in Genetics (2022)

Xiang ZhangZhuo ChenRahul BhadaniSiyang CaoMeng LuNicholas LytalYin ChenLingling An

geneticsbioinformaticspopulation geneticscell type clusteringcomputational genomicsmachine learningmedical geneticsgenomicsrna biologyneural network-imputationgenome biologymolecular biologytranscriptomics technologysingle-cell rna sequencing

Normalization Methods on Single-Cell Rna-Seq Data: An Empirical Survey. Frontiers in Genetics (2020)

Nicholas LytalDi RanLingling An

geneticshuman geneticsbioinformaticspopulation geneticssingle-cell analysisnormalization methodsapplied geneticssingle-cell rna-seq databiostatisticsgenomicsrna biologydata normalizationgenome biologymolecular biologytranscriptomics technology

SCDOC: Correcting Drop-out Events in Single-Cell Rna-Seq Data. Bioinformatics (2020)

Di RanShanshan ZhangNicholas LytalLingling An

bioinformaticssingle-cell analysisdrop-out eventsinformaticsdata sciencegenomicssingle-cell rna-seq datatranscriptomics technology

Mie Scattering and Microparticle-Based Characterization of Heavy Metal Ions and Classification by Statistical Inference Methods. Royal Society Open Science (2019)

Katherine E. KlugChristian M. JenningsNicholas LytalLingling AnJeong-Yeol Yoon

statistical inference methodsmicroparticle-based characterizationmaterials scienceapplied physicsmie scatteringenvironmental scienceopen scienceheavy metal ionscharacterization (materials science)

1
10 / page

Nicholas Lytal

California State University--Chico

Affiliations

California State University--Chico

Department Of Math And Statistics

Division Of Computing And Mathematics

NoneNicholas Lytal is currently serving as a California State University--Chico faculty at California State University--Chico.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Nicholas Lytal

California State University--Chico

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

TIMENORM: A Novel Normalization Method for Time Course Microbiome Data. Frontiers in Genetics (2024)

Qianwen LuoMeng LuHamza ButtNicholas LytalRuofei DuHongmei JiangLingling An

geneticsmicrobial ecologymicrobial diversitymicrobiomegenomicsnovel normalization method

NISC: Neural Network-Imputation for Single-Cell Rna Sequencing and Cell Type Clustering. Frontiers in Genetics (2022)

Xiang ZhangZhuo ChenRahul BhadaniSiyang CaoMeng LuNicholas LytalYin ChenLingling An

Normalization Methods on Single-Cell Rna-Seq Data: An Empirical Survey. Frontiers in Genetics (2020)

Nicholas LytalDi RanLingling An

SCDOC: Correcting Drop-out Events in Single-Cell Rna-Seq Data. Bioinformatics (2020)

Di RanShanshan ZhangNicholas LytalLingling An

bioinformaticssingle-cell analysisdrop-out eventsinformaticsdata sciencegenomicssingle-cell rna-seq datatranscriptomics technology

Mie Scattering and Microparticle-Based Characterization of Heavy Metal Ions and Classification by Statistical Inference Methods. Royal Society Open Science (2019)

Katherine E. KlugChristian M. JenningsNicholas LytalLingling AnJeong-Yeol Yoon

statistical inference methodsmicroparticle-based characterizationmaterials scienceapplied physicsmie scatteringenvironmental scienceopen scienceheavy metal ionscharacterization (materials science)

1
10 / page