找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Bioinformatics Research and Applications; 16th International S Zhipeng Cai,Ion Mandoiu,Xuan Guo Conference proceedings 2020 Springer Nature

[復(fù)制鏈接]
樓主: 戰(zhàn)神
11#
發(fā)表于 2025-3-23 11:46:51 | 只看該作者
12#
發(fā)表于 2025-3-23 16:52:07 | 只看該作者
13#
發(fā)表于 2025-3-23 19:43:20 | 只看該作者
Isoform-Disease Association Prediction by Data Fusion,ion term to dispatch gene-disease associations to individual isoforms, and reversely aggregate these dispatched associations to affiliated genes. Next, it fuses different genomics and transcriptomics data to replenish gene-disease associations and to induce a linear classifier for predicting isoform
14#
發(fā)表于 2025-3-24 01:09:33 | 只看該作者
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings,a and reduce the chance of filtering out potential candidates overlooked by a single clustering. In the search stage, EpIntMC applies Entropy score to screen SNPs in each cluster, and uses Jaccard similarity to merge the most similar clusters into candidate sets. After that, EpIntMC uses exhaustive
15#
發(fā)表于 2025-3-24 04:52:46 | 只看該作者
16#
發(fā)表于 2025-3-24 10:01:50 | 只看該作者
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based ontial proteins. In Ess-NEXG, we construct a reliable weighted network by using these data. Then we use the node2vec technique to capture the topological features of proteins in the constructed weighted PPI network. Last, the extracted features of proteins are put into a machine learning classifier t
17#
發(fā)表于 2025-3-24 12:14:36 | 只看該作者
18#
發(fā)表于 2025-3-24 18:19:00 | 只看該作者
SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data,e classic structural variants that can be detected by state-of-the-art methods (e.g., SVIM and Sniffles), our experiments demonstrate recall improvements of up-to . without harming the precisions (i.e., above .). We also point out three directions to further improve structural variant detection in t
19#
發(fā)表于 2025-3-24 20:51:36 | 只看該作者
Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization,ew drug/target cases by combining the loss function with a Laplacian regularization term. Finally, we numerically solve the LRSpNM model by an efficient alternating direction method of multipliers (ADMM) algorithm. Performance evaluations on benchmark datasets show that LRSpNM achieves better and mo
20#
發(fā)表于 2025-3-25 00:13:37 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 06:33
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
太湖县| 长沙县| 阜新市| 汉中市| 新绛县| 成都市| 屏南县| 余江县| 营口市| 乐昌市| 宜兰县| 旅游| 德格县| 洪江市| 安国市| 成都市| 长春市| 沙田区| 鄂伦春自治旗| 沙田区| 祁阳县| 巴林左旗| 珲春市| 邵东县| 泗洪县| 望奎县| 澄迈县| 芮城县| 武川县| 长岛县| 百色市| 宜都市| 靖西县| 芦溪县| 晋州市| 朝阳县| 龙岩市| 原阳县| 若尔盖县| 清原| 墨江|