Pages that link to "Q41044597"
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The following pages link to Jean-Philippe Vert (Q41044597):
Displaying 50 items.
- A generic methodological framework for studying single cell motility in high-throughput time-lapse data (Q27304473) (← links)
- The Wnt receptor Ryk reduces neuronal and cell survival capacity by repressing FOXO activity during the early phases of mutant huntingtin pathogenicity (Q27314681) (← links)
- Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants (Q28264559) (← links)
- Machine learning for in silico virtual screening and chemical genomics: new strategies (Q28751419) (← links)
- The Pharmacophore Kernel for Virtual Screening with Support Vector Machines (Q29038130) (← links)
- Graph kernels based on tree patterns for molecules (Q29398651) (← links)
- Identifying multi-locus chromatin contacts in human cells using tethered multiple 3C (Q30630876) (← links)
- Efficient RNA isoform identification and quantification from RNA-Seq data with network flows. (Q30817919) (← links)
- HiC-Pro: an optimized and flexible pipeline for Hi-C data processing (Q31029404) (← links)
- Supervised enzyme network inference from the integration of genomic data and chemical information (Q33217299) (← links)
- Optimizing amino acid substitution matrices with a local alignment kernel (Q33242480) (← links)
- An accurate and interpretable model for siRNA efficacy prediction (Q33265111) (← links)
- Classification of microarray data using gene networks (Q33271458) (← links)
- A new pairwise kernel for biological network inference with support vector machines (Q33319512) (← links)
- Classification of arrayCGH data using fused SVM. (Q33347418) (← links)
- Virtual screening of GPCRs: an in silico chemogenomics approach (Q33367388) (← links)
- A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction (Q33533480) (← links)
- Large-scale prediction of protein-protein interactions from structures (Q33542870) (← links)
- SegAnnDB: interactive Web-based genomic segmentation (Q33641977) (← links)
- Three-dimensional modeling of the P. falciparum genome during the erythrocytic cycle reveals a strong connection between genome architecture and gene expression (Q33657762) (← links)
- Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization (Q33748351) (← links)
- Epigenomic alterations in breast carcinoma from primary tumor to locoregional recurrences. (Q34011318) (← links)
- ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples (Q34041793) (← links)
- The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures (Q34113527) (← links)
- Large-scale functional RNAi screen in C. elegans identifies genes that regulate the dysfunction of mutant polyglutamine neurons. (Q34194189) (← links)
- A statistical approach for inferring the 3D structure of the genome (Q34424959) (← links)
- DSIR: assessing the design of highly potent siRNA by testing a set of cancer-relevant target genes (Q34464748) (← links)
- TIGRESS: Trustful Inference of Gene REgulation using Stability Selection. (Q34485897) (← links)
- Learning smoothing models of copy number profiles using breakpoint annotations (Q34734378) (← links)
- Multiple dimensions of epigenetic gene regulation in the malaria parasite Plasmodium falciparum: gene regulation via histone modifications, nucleosome positioning and nuclear architecture in P. falciparum (Q35272932) (← links)
- A Bayesian active learning strategy for sequential experimental design in systems biology. (Q35277443) (← links)
- A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples (Q35749763) (← links)
- Accurate identification of centromere locations in yeast genomes using Hi-C. (Q35770629) (← links)
- Changes in correlation between promoter methylation and gene expression in cancer (Q35824831) (← links)
- Integrative DNA methylation and gene expression analysis to assess the universality of the CpG island methylator phenotype (Q36154630) (← links)
- Pax3 and Zic1 trigger the early neural crest gene regulatory network by the direct activation of multiple key neural crest specifiers (Q38392710) (← links)
- NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis. (Q38708733) (← links)
- Φ-score: A cell-to-cell phenotypic scoring method for sensitive and selective hit discovery in cell-based assays. (Q42134712) (← links)
- Efficient peptide-MHC-I binding prediction for alleles with few known binders. (Q42639862) (← links)
- Protein-ligand interaction prediction: an improved chemogenomics approach. (Q42948052) (← links)
- SIRENE: supervised inference of regulatory networks (Q44482553) (← links)
- Kernel Multitask Regression for Toxicogenetics. (Q45945451) (← links)
- Supervised inference of gene regulatory networks from positive and unlabeled examples. (Q45959939) (← links)
- A molecular atlas of the developing ectoderm defines neural, neural crest, placode, and nonneural progenitor identity in vertebrates (Q46523851) (← links)
- A general and flexible method for signal extraction from single-cell RNA-seq data. (Q47559173) (← links)
- The Kendall and Mallows Kernels for Permutations (Q47660738) (← links)
- Protein homology detection using string alignment kernels (Q48028746) (← links)
- Supervised reconstruction of biological networks with local models (Q48391982) (← links)
- Glycan classification with tree kernels (Q48410932) (← links)
- Graph kernels for molecular structure-activity relationship analysis with support vector machines. (Q51633154) (← links)