Results 201 to 210 of about 22,609 (263)

Enhancing nanopore adaptive sampling for PromethION using readfish at scale. [PDF]

Genome Res
Munro R, Payne A, Holmes N, Moore C, Cahyani I, Loose M.   +5 more
europepmc   +1 more source

Refactoring Python Code with LLM-Based Multi-Agent Systems: An Empirical Study in ML Software Projects

Alexander Puma Pucho, Alexandre Ferreira, Elder Cirilo, Bruno Cafeo   +3 more
openalex   +2 more sources

<i>Chlamydomonas</i> chloroplast genes tolerate compression of the genetic code to just 51 codons. [PDF]

Proc Natl Acad Sci U S A
Mordaka PM, Clouston K, Cui J, Holzer A, Jackson HO, Purton S, Smith AG.   +6 more
europepmc   +1 more source

A music structure analysis method based on beat feature and improved residual networks. [PDF]

PLoS One
Lu B, Zhang Q, Guo Y, Hu F, Xiong X.
europepmc   +1 more source

Mapping immersive digital tools in the ICT4Water Cluster: innovation, interoperability and impact. [PDF]

Open Res Eur
Karachalios I, Tantaroudas N, Makropoulos C.   +2 more
europepmc   +1 more source

Pedixplorer: a Bioconductor package to streamline pedigree design and visualization. [PDF]

Bioinformatics
Le Nézet L, Sinnwell J, Letko A, André C, Quignon P.   +4 more
europepmc   +1 more source

UpSMART: five years of digital innovation in cancer clinical research-achievements, challenges, and recommendations. [PDF]

Front Digit Health
O'Regan P, Butt F, Carter L, Graham DM, Le Blanc A, Hoskins R, Stephenson L, Patil A, Shabbir M, Eken D, Singh S, Villa A, Agnelli L, Damian S, Grave C, Pretelli G, Garralda E, Frost H, de Braud F, Freitas A, Dive C, Unsworth H.   +21 more
europepmc   +1 more source

Taskblaster: a generic framework for automated computational workflows.

Digit Discov
Larsen AH, Kuisma MJ, Boland TM, Nilsson FA, Thygesen KS.   +4 more
europepmc   +1 more source

u-LINNDA: A protocol for user-optimized lymphoma identification through neural network detection aid. [PDF]

STAR Protoc
Fischer M, Maurer MC, Peretzke R, Hauptmann FM, Ben-Salah C, Jakobs M, Kaes M, Karimian-Jazi K, Scherer MR, Bendszus M, Maier-Hein K, Krieg SM, Neumann JO, Neher P, Naser PV.   +14 more
europepmc   +1 more source

Reinforcement Learning vs Supervised Learning: A tug of war to generate refactored code accurately

Indranil Palit, Tushar Sharma
openalex   +1 more source