Author

A. Lal

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Microbiology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 3 Approach:deep learning· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

A. Sidow· 2 shared D. Ramazzotti· 2 shared A. F. Durkin· 1 shared A. Fast· 1 shared A. Fay· 1 shared A. Galione· 1 shared A. Ju· 1 shared A. K. Ganesan· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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2 shared papersCancer Biology

A. Sidow

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

The efficiency of Grignard Pure™ to inactivate airborne SARS-CoV-2 surrogate

G. Desai, G. Ramachandran, E. Goldman, A. Galione, A. Lal, T. K. Choueiri, A. Fay, W. Jordan, D. W. Schaffner, J. Caravanos, E. Grignard, G. Mainelis

This study evaluates the effectiveness of Grignard Pure™ in reducing airborne MS2 bacteriophage concentration by 2-3 logs at specific concentrations over 60-90 minutes.

bioRxiv · Aug 19, 2022 · PreprintMicrobiology

FLAME: Macroscopic imaging with microscopic resolution. Optical biopsy of human skin

A. Fast, A. Lal, A. F. Durkin, C. B. Zachary, A. K. Ganesan, M. Balu

FLAME provides macroscopic imaging of human skin with microscopic resolution using deep learning and advanced detection methods to generate 3D maps of sub-cellular components.

bioRxiv · Jan 31, 2020 · PreprintBioengineering

Comprehensive Genomic Characterization of Breast Tumors with BRCA1 and BRCA2 Mutations

A. Lal, D. Ramazzotti, Z. Weng, K. Liu, J. Ford, A. Sidow

This study compares genomic features of BRCA1/BRCA2-mutated breast tumors with sporadic tumors, finding differences in mutation patterns, DNA methylation, and structural variation.

bioRxiv · May 19, 2019Cancer Biology

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

D. Ramazzotti, A. Lal, B. Wang, S. Batzoglou, A. Sidow

This paper introduces CIMLR, a multi-omic integration method that identifies cancer subtypes associated with survival differences across 36 cancer types.

bioRxiv · Oct 14, 2018Cancer Biology

Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites

M. J. Boucher, S. Ghosh, L. Zhang, A. Lal, S. W. Jang, A. Ju, S. Zhang, X. Wang, S. A. Ralph, J. Zou, J. E. Elias, E. Yeh

The paper combines proteomics and machine learning to generate a high-confidence apicoplast proteome in malaria parasites, identifying 346 proteins and validating novel functions.

bioRxiv · Jul 28, 2018Microbiology