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Qingfei Kong

dblp:276/1495 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-6014-7632ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › cancer genomics
cancer subtype analysis
0.922021
SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs · Bioinform. 2021
psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression · Bioinform. 2020
Bioinformatics and computational biology › systems bioinformatics
pathway analysis
0.922021
SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs · Bioinform. 2021
psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression · Bioinform. 2020
Bioinformatics and computational biology
cancer genomics
0.412020
psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

subtype sample set enrichment analysis · 0.5drug-disease reverse association · 0.5pathway network analysis · 0.4gene expression analysis · 0.4
YearPublicationVenuePosition
2021 SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs
abstract
SUMMARY: Cancer can be classified into various subtypes by its molecular, histological or clinical characteristics. Discovering cancer-subtype-specific drugs is a crucial step in personalized medicine. SubtypeDrug is a system biology R-based software package that enables the prioritization of subtype-specific drugs based on cancer expression data from samples of many subtypes. This provides a novel approach to identify the subtype-specific drug by considering biological functions regulated by drugs at the subpathway level. The operation modes include extraction of subpathways from biological pathways, identification of dysregulated subpathways induced by each drug, inference of sample-specific subpathway activity profiles, evaluation of drug-disease reverse association at the subpathways level, identification of cancer-subtype-specific drugs through subtype sample set enrichment analysis, and visualization of the results. Its capabilities enable SubtypeDrug to find subtype-specific drugs, which will fill the gaps in the recent tools which only identify the drugs for a particular cancer type. SubtypeDrug may help to facilitate the development of tailored treatment for patients with cancer. AVAILABILITY AND IMPLEMENTATION: The package is implemented in R and available under GPL-2 license from the CRAN website (https://CRAN.R-project.org/package=SubtypeDrug). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Qingfei Kong, Chonghui Liu, Liang Cheng 0006, Junwei Han 0003
Bioinform.2
2020 psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression
abstract
SUMMARY: Subpathways, which are defined as local gene subregions within a biological pathway, have been reported to be associated with the occurrence and development of cancer. The recent subpathway identification tools generally identify differentially expressed subpathways between normal and cancer samples. psSubpathway is a novel systems biology R-based software package that enables flexible identification of phenotype-specific subpathways in a cancer dataset with multiple categories (such as multiple subtypes and developmental stages of cancer). The operation modes include extraction of subpathways from pathway networks, inference with subpathway activities in the context of gene expression data, identification of subtype-specific subpathways, identification of dynamic-changed subpathways associated with the cancer developmental stage and visualization of subpathway activities of samples in different phenotypes. Its capabilities enable psSubpathway to find specific abnormal subpathways in the datasets with multi-phenotype categories and to fill the gaps in the recent tools. psSubpathway may identify more specific biomarkers to facilitate the development of tailored treatment for patients with cancer. AVAILABILITY AND IMPLEMENTATION: The package is implemented in R and available under GPL-2 license from the CRAN website (https://cran.r-project.org/web/packages/psSubpathway/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Junwei Han 0003, Qingfei Kong, Liang Cheng 0006
Bioinform.3