Author

Lifang He

Lehigh UniversityORCID 0000-0001-7810-9071Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian Yuan CheniD· 1 shared Felix M. Quintana· 1 shared Joshua P. Graham· 1 shared Tomas Gonzalez‐FernandeziD· 1 shared Yu ZhangiD· 1 shared Zhaoming KongiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Brian Yuan ChenORCID

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2 papers

Recent·Most cited

BioengineeringACS Synthetic BiologyPeer-reviewedOct 8, 2024

CRISPR-GEM: A Novel Machine Learning Model for CRISPR Genetic Target Discovery and Evaluation

Joshua P. Graham, Yu Zhang, Lifang He, Tomas Gonzalez‐Fernandez

CRISPR-GEM predicts optimal CRISPR target genes by modeling gene regulatory networks using MLPs trained on differential gene expression data.

8 citations

bulk RNA-seqdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 22, 2021

DeepVASP-E: A Flexible Analysis of Electrostatic Isopotentials for Finding and Explaining Mechanisms that Control Binding Specificity

Felix M. Quintana, Zhaoming Kong, Lifang He, Brian Yuan Chen

DeepVASP-E identifies electrostatic mechanisms influencing binding specificity by classifying ligand binding sites and highlighting salient electrostatic regions.

2 citations

deep learningstatistical model

𝕏 PostBluesky