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Michele Caselle

Showing results (1-10 of 61) with videos related to

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Cell Systems|July 27, 2018
The Epithelial-Mesenchymal Transition, as Hacked by a microRNA Combinatorial CodeDavide Cora', Michele Caselle
Scientific Reports|January 25, 2019
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic dataLaura Cantini, Michele Caselle
Physical Biology|November 26, 2009
Entropic contributions to the splicing processMatteo Osella, Michele Caselle
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 13, 2007
Universal power law behaviors in genomic sequences and evolutionary modelsLoredana Martignetti, Michele Caselle
NAR Genomics and Bioinformatics|April 23, 2025
Exploring the latent space of transcriptomic data with topic modelingFilippo Valle, Michele Caselle, Matteo Osella
Cancers|December 19, 2020
A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic DataFilippo Valle, Matteo Osella, Michele Caselle
Cancers|March 10, 2022
Multiomics Topic Modeling for Breast Cancer ClassificationFilippo Valle, Matteo Osella, Michele Caselle
Plos Computational Biology|December 3, 2025
Ohno-miRNAs: miRNA pairs derived from whole-genome duplicationLeonardo Agasso, Ivan Molineris, Michele Caselle
BMC Structural Biology|September 29, 2007
Identification of DNA-binding protein target sequences by physical effective energy functions: free energy analysis of lambda repressor-DNA complexesElisabetta Moroni, Michele Caselle, Federico Fogolari
BMC Bioinformatics|November 24, 2019
BITS2018: the fifteenth annual meeting of the Italian Society of BioinformaticsFrancesca Cordero, Raffaele A Calogero, Michele Caselle
Pageof 7

Showing results (1-10 of 61) with videos related to

Sort By:
Pageof 7
Cell Systems|July 27, 2018
The Epithelial-Mesenchymal Transition, as Hacked by a microRNA Combinatorial CodeDavide Cora', Michele Caselle
Scientific Reports|January 25, 2019
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic dataLaura Cantini, Michele Caselle
Physical Biology|November 26, 2009
Entropic contributions to the splicing processMatteo Osella, Michele Caselle
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 13, 2007
Universal power law behaviors in genomic sequences and evolutionary modelsLoredana Martignetti, Michele Caselle
NAR Genomics and Bioinformatics|April 23, 2025
Exploring the latent space of transcriptomic data with topic modelingFilippo Valle, Michele Caselle, Matteo Osella
Cancers|December 19, 2020
A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic DataFilippo Valle, Matteo Osella, Michele Caselle
Cancers|March 10, 2022
Multiomics Topic Modeling for Breast Cancer ClassificationFilippo Valle, Matteo Osella, Michele Caselle
Plos Computational Biology|December 3, 2025
Ohno-miRNAs: miRNA pairs derived from whole-genome duplicationLeonardo Agasso, Ivan Molineris, Michele Caselle
BMC Structural Biology|September 29, 2007
Identification of DNA-binding protein target sequences by physical effective energy functions: free energy analysis of lambda repressor-DNA complexesElisabetta Moroni, Michele Caselle, Federico Fogolari
BMC Bioinformatics|November 24, 2019
BITS2018: the fifteenth annual meeting of the Italian Society of BioinformaticsFrancesca Cordero, Raffaele A Calogero, Michele Caselle
Pageof 7