Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: bioconductor: iPAC

https://packages.ecosyste.ms/registries/bioconductor.org/packages/iPAC

Identification of Protein Amino acid Clustering
1 version
Latest release: about 1 year ago
3 dependent packages
21,217 downloads total

Papers Mentioning iPAC 14

Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis
Cited by: 31
Author(s): Claudia Cava, Gloria Bertoli, Antonio Colaprico, Catharina Olsen, Gianluca Bontempi, Isabella Castiglioni
Software Mentions: 12
Published: almost 7 years ago

10.1016/j.cels.2020.06.005

PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities
Cited by: 7
Author(s): Shilpa Nadimpalli Kobren, Bernard Chazelle, Mona Singh
Software Mentions: 5
Published: over 4 years ago

10.1186/s12859-016-0963-3

Leveraging protein quaternary structure to identify oncogenic driver mutations
Cited by: 8
Author(s): Gregory A. Ryslik, Yu‐Wei Cheng, Yorgo Modis, Hongyu Zhao
Software Mentions: 4
Published: over 8 years ago

10.1186/s12859-015-0857-9

Methods for the integration of multi-omics data: mathematical aspects
Cited by: 272
Author(s): Matteo Bersanelli, Ettore Mosca, Daniel Remondini, Enrico Giampieri, Claudia Sala, Gastone Castellani, Luciano Milanesi
Software Mentions: 4
Published: almost 9 years ago

10.1186/s13073-014-0081-7

Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach
Cited by: 31
Author(s): Huy Gia Vuong, Feixiong Cheng, Lin Chen, Zhongming Zhao
Software Mentions: 4
Published: about 10 years ago

10.3389/fgene.2020.564839

FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network
Cited by: 6
Author(s): Hong Gu, Xin Xu, Pan Qin, Jia Wang
Software Mentions: 4
Published: almost 4 years ago

10.3389/fmolb.2021.671309

Cancer-Associated circRNA–miRNA–mRNA Regulatory Networks: A Meta-Analysis
Cited by: 21
Author(s): Shaheerah Khan, Atimukta Jha, Amaresh C. Panda, Anshuman Dixit
Software Mentions: 4
Published: over 3 years ago

10.1186/1471-2105-15-231

A spatial simulation approach to account for protein structure when identifying non-random somatic mutations
Cited by: 23
Author(s): Gregory A. Ryslik, Yu‐Wei Cheng, Kei Hoi Cheung, Robert Bjornson, Daniel Zelterman, Yorgo Modis, Hongyu Zhao
Software Mentions: 3
Published: over 10 years ago

10.1186/s12859-015-0555-7

SomInaClust: detection of cancer genes based on somatic mutation patterns of inactivation and clustering
Cited by: 35
Author(s): Jimmy Van den Eynden, Ana Carolina Fierro, Lieven P. C. Verbeke, Kathleen Marchal
Software Mentions: 2
Published: over 9 years ago

10.1186/1471-2105-15-86

A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations
Cited by: 29
Author(s): Gregory A. Ryslik, Yu‐Wei Cheng, Kei Hoi Cheung, Yorgo Modis, Hongyu Zhao
Software Mentions: 2
Published: over 10 years ago

10.1186/1471-2105-14-190

Utilizing protein structure to identify non-random somatic mutations
Cited by: 47
Author(s): Gregory A. Ryslik, Yu‐Wei Cheng, Kei‐Hoi Cheung, Yorgo Modis, Hongyu Zhao
Software Mentions: 2
Published: over 11 years ago

10.1016/j.jprot.2014.12.006

SILAC-iPAC: A quantitative method for distinguishing genuine from non-specific components of protein complexes by parallel affinity capture
Cited by: 8
Author(s): Johanna S. Rees, Kathryn S. Lilley, Antony P. Jackson
Software Mentions: 1
Published: almost 10 years ago

10.1371/journal.pcbi.1005347

Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression
Cited by: 14
Author(s): William Poole, Kalle Leinonen, Ilya Shmulevich, Theo Knijnenburg, Brady Bernard
Software Mentions: 1
Published: almost 8 years ago

10.1186/gm524

Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine
Cited by: 163
Author(s): Benjamin J. Raphael, Jason R. Dobson, Layla Oesper, Fabio Vandin
Software Mentions: 1
Published: almost 11 years ago