Jonathan Warrell
Associate Research ScientistCards
About
Research
Publications
2026
Transcriptomic and phenotypic convergence of neurodevelopmental disorder risk genes in vitro and in vivo
Fernandez Garcia M, Retallick-Townsley K, Pruitt A, Davidson E, Balafkan N, Warrell J, Huang T, Kibowen A, Chu Z, Dai Y, Fitzpatrick S, Meng R, Sen A, Cohen S, Livoti O, Khan S, Becker C, Luiz Teles e Silva A, Liu J, Dossou G, Cheung J, Liu S, Ghorbani S, Deans P, DeCiucis M, Emani P, Gao H, Shen H, Gerstein M, Wang Z, Huckins L, Hoffman E, Brennand K. Transcriptomic and phenotypic convergence of neurodevelopmental disorder risk genes in vitro and in vivo. Nature Neuroscience 2026, 29: 1079-1094. PMID: 42032432, PMCID: PMC13156037, DOI: 10.1038/s41593-026-02247-7.Peer-Reviewed Original ResearchInterpretability and implicit model semantics in biomedicine and deep learning
Warrell J, Gancz M, Mohsen H, Emani P, Gerstein M. Interpretability and implicit model semantics in biomedicine and deep learning. Nature Machine Intelligence 2026, 8: 296-299. DOI: 10.1038/s42256-026-01177-0.Peer-Reviewed Original ResearchMetabolic characterization of tumor-immune interactions by multiplexed immunofluorescence reveals spatial mechanisms of immunotherapy response in non-small cell lung carcinoma (NSCLC)
Monkman J, Kilgallon A, Lawler C, Tubelleza R, Aung T, Warrell J, Vathiotis I, Trontzas I, Gavrielatou N, Nyein Chan N, Czertok R, Bookstein S, O’Byrne K, Markovits E, Rimm D, Kulasinghe A. Metabolic characterization of tumor-immune interactions by multiplexed immunofluorescence reveals spatial mechanisms of immunotherapy response in non-small cell lung carcinoma (NSCLC). Nature Communications 2026, 17: 837. PMID: 41634004, PMCID: PMC12868679, DOI: 10.1038/s41467-026-68633-8.Peer-Reviewed Original Research
2025
Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer
Aung T, Monkman J, Warrell J, Vathiotis I, Bates K, Gavrielatou N, Trontzas I, Tan C, Fernandez A, Moutafi M, O’ Byrne K, Schalper K, Syrigos K, Herbst R, Kulasinghe A, Rimm D. Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer. Nature Genetics 2025, 57: 2482-2493. PMID: 41073787, PMCID: PMC12513832, DOI: 10.1038/s41588-025-02351-7.Peer-Reviewed Original ResearchPathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma
Aung T, Liu M, Su D, Shafi S, Boyaci C, Steen S, Tsiknakis N, Vidal J, Maher N, Micevic G, Tan S, Vesely M, Nourmohammadi S, Bai Y, Djureinovic D, Wong P, Bates K, Chan N, Gavirelatou N, He M, Burela S, Barna R, Bosic M, Bräutigam K, Illabochaca I, Chenhao Z, Gama J, Kreis B, Mohacsi R, Pillar N, Pinto J, Poulios C, Toli M, Tzoras E, Bracero Y, Bosisio F, Cserni G, Dema A, Fortarezza F, Gonzalez M, Gullo I, Gutiérrez F, Hacihasanoglu E, Jovic V, Lazar B, Olinca M, Neppl C, Oliveira R, Pezzuto F, Pinto D, Plotar V, Pop O, Rau T, Skok K, Sun W, Serbes E, Solass W, Stanowska O, Szasz M, Szymonski K, Thimm F, Vignati D, Vigdorovits A, Prieto V, Sinnberg T, Wilmott J, Cowper S, Warrell J, Saenger Y, Hartman J, Plummer J, Osman I, Rimm D, Acs B. Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma. JAMA Network Open 2025, 8: e2518906. PMID: 40608341, PMCID: PMC12232186, DOI: 10.1001/jamanetworkopen.2025.18906.Peer-Reviewed Original ResearchQuantum variational autoencoder utilizing regularized mixed-state latent representations
Wang G, Warrell J, Emani P, Gerstein M. Quantum variational autoencoder utilizing regularized mixed-state latent representations. Physical Review A 2025, 111: 042416. DOI: 10.1103/physreva.111.042416.Peer-Reviewed Original Research
2024
A variational graph-partitioning approach to modeling protein liquid-liquid phase separation
Wang G, Warrell J, Zheng S, Gerstein M. A variational graph-partitioning approach to modeling protein liquid-liquid phase separation. Cell Reports Physical Science 2024, 5: 102292. PMID: 39866853, PMCID: PMC11760192, DOI: 10.1016/j.xcrp.2024.102292.Peer-Reviewed Original ResearchPredicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs
Song T, Cosatto E, Wang G, Kuang R, Gerstein M, Min M, Warrell J. Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs. Bioinformatics 2024, 40: ii111-ii119. PMID: 39230702, PMCID: PMC11373608, DOI: 10.1093/bioinformatics/btae383.Peer-Reviewed Original ResearchSpatially informed gene signatures for response to immunotherapy in melanoma
Aung T, Warrell J, Martinez-Morilla S, Gavrielatou N, Vathiotis I, Yaghoobi V, Kluger H, Gerstein M, Rimm D. Spatially informed gene signatures for response to immunotherapy in melanoma. Clinical Cancer Research 2024, 30: 3520-3532. PMID: 38837895, PMCID: PMC11326985, DOI: 10.1158/1078-0432.ccr-23-3932.Peer-Reviewed Original ResearchSingle-cell genomics and regulatory networks for 388 human brains
Emani P, Liu J, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee C, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken T, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard J, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman G, Huang A, Jiang Y, Jin T, Jorstad N, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran J, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan A, Riesenmy T, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini K, Wamsley B, Wang G, Xia Y, Xiao S, Yang A, Zheng S, Gandal M, Lee D, Lein E, Roussos P, Sestan N, Weng Z, White K, Won H, Girgenti M, Zhang J, Wang D, Geschwind D, Gerstein M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Brennand K, Capauto D, Champagne F, Chatzinakos C, Chen H, Cheng L, Chess A, Chien J, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Davila-Velderrain J, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duong D, Eagles N, Edelstein J, Galani K, Girdhar K, Goes F, Greenleaf W, Guo H, Guo Q, Hadas Y, Hallmayer J, Han X, Haroutunian V, He C, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hyde T, Iatrou A, Inoue F, Jajoo A, Jiang L, Jin P, Jops C, Jourdon A, Kellis M, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Li J, Li M, Lin X, Liu S, Liu C, Loupe J, Lu D, Ma L, Mariani J, Martinowich K, Maynard K, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Mukamel E, Nairn A, Nemeroff C, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Pinto D, Pochareddy S, Pollard K, Pollen A, Przytycki P, Purmann C, Qin Z, Qu P, Raj T, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Seyfried N, Shao Z, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Subburaju S, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Voloudakis G, Wang T, Wang S, Wang Y, Wei Y, Weimer A, Weinberger D, Wen C, Whalen S, Willsey A, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang Y, Ziffra R, Zeier Z, Zintel T. Single-cell genomics and regulatory networks for 388 human brains. Science 2024, 384: eadi5199-eadi5199. PMID: 38781369, PMCID: PMC11365579, DOI: 10.1126/science.adi5199.Peer-Reviewed Original Research