Nadav Brandes

发表

Quantifying gene selection in cancer through protein functional alteration bias

Nathan Linial, Michal Linial, Nadav Brandes, 2019, Nucleic acids research.

Modeling Functional Genetic Alteration in Cancer Reveals New Candidate Driver Genes

N. Linial, M. Linial, Nadav Brandes, 2018, bioRxiv.

ProteinBERT: a universal deep-learning model of protein sequence and function

M. Linial, Nadav Brandes, D. Ofer, 2021, bioRxiv.

Giant Viruses—Big Surprises

M. Linial, Nadav Brandes, 2019, Viruses.

Gene overlapping and size constraints in the viral world

M. Linial, Nadav Brandes, 2016, Biology Direct.

Overlapping Genes and Size Constraints in Viruses - An Evolutionary Perspective

M. Linial, Nadav Brandes, 2015, bioRxiv.

Evolutionary and functional lessons from human-specific amino acid substitution matrices

M. Linial, Nadav Brandes, Tair Shauli, 2020, bioRxiv.

PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins

N. Linial, M. Linial, Nadav Brandes, 2020, Genome Biology.

Substantial batch effects in TCGA exome sequences undermine pan-cancer analysis of germline variants

M. Linial, O. Zuk, Nadav Brandes, 2018, BMC Cancer.

Substantial batch effects in TCGA exome sequences undermine pan-cancer analysis of germline variants

M. Linial, O. Zuk, Nadav Brandes, 2018, bioRxiv.

ProteinBERT: a universal deep-learning model of protein sequence and function

Michal Linial, Nadav Rappoport, Nadav Brandes, 2021, bioRxiv.

Genome-wide prediction of disease variants with a deep protein language model

Chun Jimmie Ye, Vasilis Ntranos, Nadav Brandes, 2022, bioRxiv.

PWAS: Proteome-Wide Association Study

Nathan Linial, Michal Linial, Nadav Brandes, 2019, bioRxiv.

Body Mass Index and Birth Weight Improve Polygenic Risk Score for Type 2 Diabetes

Yedael Y. Waldman, M. Linial, Nadav Brandes, 2021, medRxiv.

Open problems in human trait genetics

M. Linial, O. Weissbrod, Nadav Brandes, 2021, Genome biology.

The FABRIC Cancer Portal: A Ranked Catalogue of Gene Selection in Tumors over the Human Coding Genome.

M. Linial, Nadav Brandes, G. Kelman, 2020, Cancer research.

The FABRIC Cancer Portal: A Ranked Catalogue of Gene Selection in Tumors Over the Human Coding Genome

M. Linial, Nadav Brandes, G. Kelman, 2020, Cancer Research.

Selecting Covariates for Genome-Wide Association Studies

M. Linial, O. Zuk, Nadav Brandes, 2023, bioRxiv.

Genetic association studies of alterations in protein function expose recessive effects on cancer predisposition

N. Linial, M. Linial, Nadav Brandes, 2021, Scientific Reports.

Recessive effects in cancer predisposition exposed by genome-wide and proteome-wide association studies

N. Linial, M. Linial, Nadav Brandes, 2020, bioRxiv.

Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer

Nathan Linial, Michal Linial, Nadav Brandes, 2020, ISBRA.

The language of proteins: NLP, machine learning & protein sequences

Michal Linial, Nadav Brandes, Dan Ofer, 2021, Computational and structural biotechnology journal.

Gene overlapping and size constraints in the viral world

M. Linial, Nadav Brandes, 2016, Biology Direct.

ASAP: a machine learning framework for local protein properties

Michal Linial, Nadav Brandes, Dan Ofer, 2016, Database J. Biol. Databases Curation.

Mitigation of chromosome loss in clinical CRISPR-Cas9-engineered T cells

Howard Y. Chang, Chun Jimmie Ye, Jamie H. D. Cate, 2023, bioRxiv.

Substantial batch effects in TCGA exome sequences undermine pan-cancer analysis of germline variants

M. Linial, O. Zuk, Nadav Brandes, 2018, bioRxiv.

Genome-wide prediction of disease variant effects with a deep protein language model

Chun Jimmie Ye, Vasilis Ntranos, Nadav Brandes, 2023, Nature Genetics.

The genetic underpinnings of variable penetrance and expressivity of pathogenic mutations in cardiometabolic traits

S. Sankararaman, M. Udler, E. Kenny, 2023, medRxiv.

Mitigation of chromosome loss in clinical CRISPR-Cas9-engineered T cells

J. Doudna, Nadav Brandes, Kevin R. Parker, 2023, Cell.

Single cell sequencing as a general variant interpretation assay

K. Farh, Vasilis Ntranos, Nadav Brandes, 2023, bioRxiv.