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Authors and titles for recent submissions

[ total of 9 entries: 1-9 ]
[ showing up to 25 entries per page: fewer | more ]

Thu, 29 Feb 2024

[1]  arXiv:2402.17807 [pdf, other]
Title: Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
Comments: Accepted In The FEBS OPEN BIO (Q2, SCOPUS, SCIE, IF: 2.6, CS: 4.7), Wiley Journal, On FEB 25, 2024
Subjects: Genomics (q-bio.GN); Machine Learning (cs.LG)

Wed, 28 Feb 2024

[2]  arXiv:2402.17621 [pdf, ps, other]
Title: Supervised machine learning for microbiomics: bridging the gap between current and best practices
Comments: 25 pages, 5 figures
Subjects: Genomics (q-bio.GN); Machine Learning (cs.LG)
[3]  arXiv:2402.17182 [pdf, ps, other]
Title: Methylation Operation Wizard (MeOW): Identification of differentially methylated regions in long-read sequencing data
Comments: 7 pages, 1 figure
Subjects: Genomics (q-bio.GN); Quantitative Methods (q-bio.QM)
[4]  arXiv:2402.16901 [pdf, other]
Title: FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics
Subjects: Genomics (q-bio.GN); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

Tue, 27 Feb 2024

[5]  arXiv:2402.16185 [pdf, other]
Title: Exploring gene content with pangenome gene graphs
Subjects: Genomics (q-bio.GN)

Fri, 23 Feb 2024

[6]  arXiv:2402.14527 (cross-list from cs.LG) [pdf, other]
Title: Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Genomics (q-bio.GN)

Wed, 21 Feb 2024

[7]  arXiv:2402.12405 [pdf, other]
Title: scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation
Comments: 4 pages, submitted to FCS
Subjects: Genomics (q-bio.GN); Artificial Intelligence (cs.AI)
[8]  arXiv:2402.12391 [pdf, other]
Title: Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data
Comments: 18 pages, 2 figures; added contact
Subjects: Genomics (q-bio.GN); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[9]  arXiv:2402.12724 (cross-list from stat.ME) [pdf, other]
Title: Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression
Subjects: Methodology (stat.ME); Genomics (q-bio.GN); Applications (stat.AP)
[ total of 9 entries: 1-9 ]
[ showing up to 25 entries per page: fewer | more ]

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