Maxwell L. Bileschi - Concepedia

Concepedia

Author

Maxwell L. Bileschi

Google (United States)ORCID

Also Known As

Bileschi, Maxwell, Bileschi, Maxwell L, Culp, Laura, Maxwell Bileschi, Maxwell L Bileschi, Maxwell L. Bileschi, Maxwell L Bileschi

23

Publications

4.3K

Citations

11

H-Index

30

Concepts

All Affiliations

Google (United States)University of Cambridge European Bioinformatics Institute The Francis Crick Institute University at Buffalo, State University of New York

ML

About

Maxwell L. Bileschi is an author at Google (United States) specializing in engineering, deep learning, and bioinformatics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	481
2	Medicine	2	2	145
3	Natural Sciences	2	2	325
4	Biostatistics	1	1	64
5	Computer Science	1	1	11

Maxwell L. Bileschi

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13

Publications

4.3K

Citations

11

H-Index

	Year	Citations
InterPro in 2022 Typhaine Paysan‐Lafosse, Matthias Blum, Sara Chuguransky, Nucleic Acids Research	2022	2.4K
Sequential regulatory activity prediction across chromosomes with convolutional neural networks David R. Kelley, Yakir Reshef, Maxwell L. Bileschi, Genome Research	2018	536
MGnify: the microbiome sequence data analysis resource in 2023 Lorna Richardson, Ben Allen, Germana Baldi, Nucleic Acids Research	2022	399
Using deep learning to annotate the protein universe Maxwell L. Bileschi, David Belanger, Drew Bryant, Nature Biotechnology EngineeringNatural SciencesComputational BiologyMolecular BiologyProtein Modeling	2022	297
The Pfam protein families database: embracing AI/ML Typhaine Paysan‐Lafosse, Antonina Andreeva, Matthias Blum, Nucleic Acids Research	2024	175
ProteInfer, deep neural networks for protein functional inference Theo Sanderson, Maxwell L. Bileschi, David Belanger, eLife	2023	164
Using Deep Learning to Annotate the Protein Universe Maxwell L. Bileschi, David Belanger, Drew Bryant, Structured PredictionEngineeringMachine LearningMolecular BiologyBioinformatics Database	2019	81
Sequential regulatory activity prediction across chromosomes with convolutional neural networks David R. Kelley, Yakir Reshef, Maxwell L. Bileschi, EngineeringGeneticsGenetic EpidemiologyGene Regulatory NetworkGenomics	2017	64
ProteInfer: deep networks for protein functional inference Theo Sanderson, Maxwell L. Bileschi, David Belanger, EngineeringMachine LearningProtein FunctionsMolecular BiologySequence Alignment	2021	28
Weights of Boolean cubic monomial rotation symmetric functions Maxwell L. Bileschi, Thomas W. Cusick, Daniel Padgett Cryptography and Communications Symmetric FunctionSymmetry (Physics)Boolean Function	2011	19

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